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Ayenew T, Gedfew M, Fetene MG, Telayneh AT, Adane F, Amlak BT, Workneh BS, Messelu MA. Prolonged length of stay and associated factors among emergency department patients in Ethiopia: systematic review and meta-analysis. BMC Emerg Med 2024; 24:212. [PMID: 39533205 PMCID: PMC11559234 DOI: 10.1186/s12873-024-01131-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 11/06/2024] [Indexed: 11/16/2024] Open
Abstract
BACKGROUND The duration between a patient's arrival at the Emergency Department (ED) and their actual departure, known as the Emergency Department Length of Stay (EDLOS), can have significant implications for a patient's health. In Ethiopia, various studies have investigated EDLOS, but a comprehensive nationwide pooled prevalence of prolonged EDLOS, which varies across different locations, is currently lacking. Therefore, the objective of this systematic review and meta-analysis is to provide nationally representative pooled prevalence of prolonged EDLOS and identify associated factors. METHODS In this study, we conducted a comprehensive systematic review and meta-analysis using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 checklist. We conducted a thorough search of numerous international databases, including PubMed/Medline, SCOPUS, Web of Science, and Google Scholar. The primary outcome was the prevalence of prolonged EDLOS. The secondary outcome was factors affecting the EDLOS. Random-effects model was used to since there was high heterogeneity. We also conducted subgroup analysis and meta-regression to investigate heterogeneity within the included studies. To assess publication bias, we used Egger's regression test and funnel plots. All statistical analyses were performed using STATA version 17.0 software to ensure accurate and reliable findings. RESULT We have identified eight articles that met our inclusion criteria with a total sample size of 8,612 participants. The findings of this systematic review and meta-analysis indicate that the pooled estimate for the prevalence of prolonged EDLOS is 63.67% (95% CI = 45.18, 82.16, I2 = 99.56%, P = 0.0001). The study identified several significant factors associated with prolonged EDLOS, including patients admitted to overcrowded emergency departments (OR = 5.25, 95% CI = 1.77, 15.58), delays in receiving laboratory findings (OR = 3.12, 95% CI = 2.16, 4.49), and delays in receiving radiological results (OR = 3.00, 95% CI = 2.16, 4.16). CONCLUSION In this review, the EDLOS was found to be very high. Overcrowding, delays in laboratory test findings, and delays in radiology test results make up the factors that have a statistically significant association with prolonged EDLOS. Given the high prevalence of prolonged EDLOS in this review, stakeholders should work to increase the timeliness of ED services in Ethiopia by proper disposition of non-emergency palliative patients to the appropriate destination, and implementing point-of-care testing and imaging.
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Affiliation(s)
- Temesgen Ayenew
- Department of Nursing, College of Health Sciences, Debre Markos University, Po. Box. 269, Debre Markos, Ethiopia.
| | - Mihretie Gedfew
- Department of Nursing, College of Health Sciences, Debre Markos University, Po. Box. 269, Debre Markos, Ethiopia
| | - Mamaru Getie Fetene
- Department of Midwifery, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia
| | - Animut Takele Telayneh
- Department of Public Health, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia
| | - Fentahun Adane
- Department of Biomedical Science, School of Medicine, Debre Markos University, Debre Markos, Ethiopia
| | - Baye Tsegaye Amlak
- Department of Nursing, College of Health Sciences, Debre Markos University, Po. Box. 269, Debre Markos, Ethiopia
| | - Belayneh Shetie Workneh
- Department of Emergency Medicine and Critical Care Nursing, University of Gondar, Gondar, Ethiopia
| | - Mengistu Abebe Messelu
- Department of Nursing, College of Health Sciences, Debre Markos University, Po. Box. 269, Debre Markos, Ethiopia
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Lee A, Lee E, Nair S, Wang CY, Chong J, Hallinan JTPD, Ang S. Reducing Delays in MRIs Under Sedation and General Anesthesia Using Quality Improvement Tools. J Am Coll Radiol 2024; 21:1765-1773. [PMID: 38906500 DOI: 10.1016/j.jacr.2024.05.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 05/18/2024] [Accepted: 05/21/2024] [Indexed: 06/23/2024]
Abstract
OBJECTIVE Develop structured, quality improvement interventions to achieve a 15%-point reduction in MRIs performed under sedation or general anesthesia (GA) delayed more than 15 min within a 6-month period. METHODS A prospective audit of MRIs under sedation or GA from January 2022 to June 2023 was conducted. A multidisciplinary team performed process mapping and root cause analysis for delays. Interventions were developed and implemented over four Plan, Do, Study, Act (PDSA) cycles, targeting workflow standardization, preadmission patient counseling, reinforcing adherence to scheduled scan times and written consent respectively. Delay times (compared with Kruskal-Wallis and Dunn's tests), delays more than 15 min and delays of 60 min or more at baseline and after each PDSA cycle were recorded. RESULTS In all, 627 MRIs under sedation or GA were analyzed, comprising 443 at baseline and 184 postimplementation. Of the 627, 556 (88.7%) scans were performed under sedation, 22 (3.5%) under monitored anesthesia care, and 49 (7.8%) under GA. At baseline, 71.6% (317 of 443) scans were delayed over 15 min and 28.2% (125 of 443) scans by 60 min or more, with a median delay of 30 min. Postimplementation, there was a 34.7%-point reduction in scans delayed more than 15 min, a 17.5%-point reduction in scans delayed by 60 min or more, and a reduction in median delay time by 15 min (P < .001). DISCUSSION Structured interventions significantly reduced delays in MRIs under sedation and GA, potentially improving outcomes for both patients and providers. Key factors included a diversity of perspectives in the study team, continued stakeholder engagement and structured quality improvement tools including PDSA cycles.
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Affiliation(s)
- Aric Lee
- Resident, Department of Diagnostic Imaging, National University Hospital, Singapore.
| | - Eunice Lee
- Associate Consultant, Department of Anaesthesia, National University Hospital, Singapore
| | - Shalini Nair
- Principal Radiographer and Deputy MRI In-charge, Department of Diagnostic Imaging, National University Hospital, Singapore
| | - Chi Yao Wang
- Senior Radiographer, Department of Diagnostic Imaging, National University Hospital, Singapore
| | - Jennifer Chong
- Senior Staff Nurse, Department of Diagnostic Imaging, National University Hospital, Singapore
| | - James Thomas Patrick Decourcy Hallinan
- Senior Consultant and Division Head, Musculoskeletal Imaging, Department of Diagnostic Imaging; Assistant Professor, Department of Diagnostic Radiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Sophia Ang
- Senior Consultant, Department of Anaesthesia, National University Hospital, Singapore; Vice Chairman (Quality, Safety & Operations), Medical Board, National University Hospital, Singapore
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Tu LH, Tegtmeyer K, de Oliveira Santo ID, Venkatesh AK, Forman HP, Mahajan A, Melnick ER. Abbreviated MRI in the evaluation of dizziness: report turnaround times and impact on length of stay compared to CT, CTA, and conventional MRI. Emerg Radiol 2024; 31:705-711. [PMID: 39034381 DOI: 10.1007/s10140-024-02273-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Accepted: 07/16/2024] [Indexed: 07/23/2024]
Abstract
PURPOSE Neuroimaging is often used in the emergency department (ED) to evaluate for posterior circulation strokes in patients with dizziness, commonly with CT/CTA due to speed and availability. Although MRI offers more sensitive evaluation, it is less commonly used, in part due to slower turnaround times. We assess the potential for abbreviated MRI to improve reporting times and impact on length of stay (LOS) compared to conventional MRI (as well as CT/CTA) in the evaluation of acute dizziness. MATERIALS AND METHODS We performed a retrospective analysis of length of stay via LASSO regression for patients presenting to the ED with dizziness and discharged directly from the ED over 4 years (1/1/2018-12/31/2021), controlling for numerous patient-level and logistical factors. We additionally assessed turnaround time between order and final report for various imaging modalities. RESULTS 14,204 patients were included in our analysis. Turnaround time for abbreviated MRI was significantly lower than for conventional MRI (4.40 h vs. 6.14 h, p < 0.001) with decreased impact on LOS (0.58 h vs. 2.02 h). Abbreviated MRI studies had longer turnaround time (4.40 h vs. 1.41 h, p < 0.001) and was associated with greater impact on ED LOS than non-contrast CT head (0.58 h vs. 0.00 h), however there was no significant difference in turnaround time compared to CTA head and neck (4.40 h vs. 3.86 h, p = 0.06) with similar effect on LOS (0.58 h vs. 0.53 h). Ordering both CTA and conventional MRI was associated with a greater-than-linear increase in LOS (additional 0.37 h); the same trend was not seen combining CTA and abbreviated MRI (additional 0.00 h). CONCLUSIONS In the acute settings where MRI is available, abbreviated MRI protocols may improve turnaround times and LOS compared to conventional MRI protocols. Since recent guidelines recommend MRI over CT in the evaluation of dizziness, implementation of abbreviated MRI protocols has the potential to facilitate rapid access to preferred imaging, while minimizing impact on ED workflows.
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Affiliation(s)
- Long H Tu
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, Tompkins East 2, New Haven, CT 06520, USA.
| | - Kyle Tegtmeyer
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, Tompkins East 2, New Haven, CT 06520, USA
| | - Irene Dixe de Oliveira Santo
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, Tompkins East 2, New Haven, CT 06520, USA
| | - Arjun K Venkatesh
- Department of Emergency Medicine, Yale School of Medicine, 464 Congress Ave # 260, New Haven, CT 06519, USA
| | - Howard P Forman
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, Tompkins East 2, New Haven, CT 06520, USA
| | - Amit Mahajan
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, Tompkins East 2, New Haven, CT 06520, USA
| | - Edward R Melnick
- Department of Emergency Medicine, Yale School of Medicine, 464 Congress Ave # 260, New Haven, CT 06519, USA
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Amiot F, Delomas T, Laborne FX, Ecolivet T, Macrez R, Benhamed A. Implementation of lung ultrasonography by general practitioners for lower respiratory tract infections: a feasibility study. Scand J Prim Health Care 2024; 42:463-470. [PMID: 38767949 PMCID: PMC11332293 DOI: 10.1080/02813432.2024.2343678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 04/11/2024] [Indexed: 05/22/2024] Open
Abstract
OBJECTIVE To evaluate the feasibility of lung ultrasonography (LUS) performed by novice users' general practitioners (GPs) in diagnosing lower respiratory tract infections (LRTIs) in primary health care settings. DESIGN A prospective interventional multicenter study (December 2019-March 2020). SETTINGS AND SUBJECTS Patients aged >3 months, suspected of having LRTI consulting in three different general practices (GPs) (rural, semirural and urban) in France. MAIN OUTCOME MEASURES Feasibility of LUS by GPs was assessed by (1) the proportion of patients where LUS was not performed, (2) technical breakdowns, (3) interpretability of images by GPs, (4) examination duration and (5) patient perception and acceptability. RESULTS A total of 151 patients were recruited, and GPs performed LUS for 111 (73.5%) patients (LUS group). In 99.1% (n = 110) of cases, GPs indicated that they were able to interpret images. The median [IQR] exam duration was 4 [3-5] minutes. LRTI was diagnosed in 70.3% and 60% of patients in the LUS and no-LUS groups, respectively (p = .43). After LUS, GPs changed their diagnosis from 'other' to 'LRTI' in six cases (+5.4%, p < .001), prescribed antibiotics for five patients (+4.5%, p = .164) and complementary chest imaging for 10 patients (+9%, p < .001). Patient stress was reported in 1.8% of cases, 81.7% of patients declared that they better understood the diagnosis, and 82% of patients thought that the GP diagnosis was more reliable after LUS. CONCLUSIONS LUS by GPs using handheld devices is a feasible diagnostic tool in primary health care for LRTI symptoms, demonstrating both effectiveness and positive patient reception. TRIAL REGISTRATION NUMBER Clinicaltrial.gov: NCT04602234, 20/10/2020.
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Affiliation(s)
- Félix Amiot
- Emergency Department-SAMU50, Centre Hospitalier Mémorial Saint-Lô, Saint-Lô, France
| | - Thomas Delomas
- Emergency Department-SAMU50, Centre Hospitalier Mémorial Saint-Lô, Saint-Lô, France
| | | | | | - Richard Macrez
- Normandie University, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders," Institut Blood and Brain @ Caen-Normandie, Caen, France
- Department of Emergency Medicine, Caen University Hospital, Caen, France
| | - Axel Benhamed
- Emergency Department-SAMU69, Centre Hospitalier Universitaire Edouard-Herriot, Hospices Civils de Lyon, Lyon, France
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Mishra S, Srinivasan A, Kelsey L, Bojicic K, Masotti M, Chen Q, Hoeffner E, Kronick S, Gomez-Hassan D. Implementing a rapid cord compression Magnetic Resonance Imaging protocol in the emergency department: Lessons learned. Neuroradiol J 2024:19714009241269540. [PMID: 39115980 DOI: 10.1177/19714009241269540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND & PURPOSE (1) Evaluate efficacy of an abbreviated total spine protocol in triaging emergency department (ED) patients through retrospective evaluation. (2) Describe patient outcomes following implementation of a rapid cord compression protocol. METHODS (1) All contrast-enhanced total spine magnetic resonance imaging studies (MRIs) performed on ED patients (n = 75) between 10/1-12/31/2022 for evaluation of cord compression were included. Two readers with 6 and 5 years of experience blindly reviewed the abbreviated protocol (comprised of sagittal T2w and axial T2w sequences) assessing presence of cord compression or severe spinal canal stenosis. Ground truth was consensus by a neuroradiology fellow and 2 attendings. (2) The implemented rapid protocol included sagittal T1w, sagittal T2w Dixon and axial T2w images. All ED patients (n = 85) who were imaged using the rapid protocol from 5/1-8/31/2023 were included. Patient outcomes and call-back rates were determined through chart review. RESULTS (1) Sensitivity and specificity for severe spinal canal stenosis and/or cord compression was 1.0 and 0.92, respectively, for reader 1 and 0.78 and 0.85, respectively, for reader 2. Negative predictive value was 1.0 and 0.97 for readers 1 and 2, respectively. (2) The implemented rapid cord compression protocol resulted in 60% reduction in imaging time at 1.5T. The call-back rate for additional sequences was 7%. In patients who underwent surgery, no additional MRI images were acquired in 82% of cases (9/11). CONCLUSIONS Implementing an abbreviated non-contrast total spine protocol in the ED results in a low call-back rate with acquired MRI images proving sufficient for both triage and treatment planning in most patients.
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Affiliation(s)
- Shruti Mishra
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Ashok Srinivasan
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Lauren Kelsey
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Katherine Bojicic
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Maria Masotti
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Qiaochu Chen
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Ellen Hoeffner
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Steven Kronick
- Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Diana Gomez-Hassan
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, MI, USA
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Garrahy D, Doran S, O'Neill H, Dennan S, Beddy P. Towards 24/7 MRI: the effect of routine weekend inpatient MRI scanning on patient waiting times. Ir J Med Sci 2024; 193:1697-1701. [PMID: 38461226 PMCID: PMC11294432 DOI: 10.1007/s11845-024-03647-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 02/12/2024] [Indexed: 03/11/2024]
Abstract
BACKGROUND Demand for inpatient MRI outstrips capacity which results in long waiting lists. The hospital commenced a routine weekend MRI service in January 2023. AIM The aim of this study was to investigate the effect of a limited routine weekend MRI service on MRI turnaround times. METHODS Waiting times for inpatient MRI scans performed before and after the introduction of weekend MRI from January 1 to August 31, 2022, and January 1 to August 31, 2023, were obtained. The turnaround time (TAT) and request category for each study were calculated. Category 1 requests were required immediately, category 2 requests were urgent and category 3 requests were routine. RESULTS There was a 6% (n = 128) increase in MRI inpatient scanning activity in 2023 (n = 2449) compared to 2022 (n = 2322). There was a significant improvement in overall mean TAT for inpatient MRIs (p < .001) in 2023 (mean 65.2 h, range 0-555 h) compared to 2022 (mean 98.3 h, range 0-816 h). There was no significant difference in the mean waiting time for category 1 MRIs between 2022 and 2023. There was a significant improvement (p < .001) in mean waiting time in 2023 (mean 37.2 h, range 0-555) compared to 2022 (mean 55.4 h, range 0-816) for category 2 MRI. The mean waiting time for category 3 studies also significantly improved (p < .001) in 2023 (mean 93.4 h, range 1-2663) when compared to 2022 (mean 154.8, range 1-1706). CONCLUSION Routine weekend inpatient MRI significantly shortens inpatient waiting times.
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Affiliation(s)
- Darragh Garrahy
- Department of Radiology, St James's Hospital and Trinity College Dublin, James's St, Dublin 8, Ireland
| | - Simon Doran
- Department of Radiology, St James's Hospital and Trinity College Dublin, James's St, Dublin 8, Ireland
| | - Hazel O'Neill
- Department of Radiology, St James's Hospital and Trinity College Dublin, James's St, Dublin 8, Ireland
| | - Suzanne Dennan
- Department of Radiology, St James's Hospital and Trinity College Dublin, James's St, Dublin 8, Ireland
| | - Peter Beddy
- Department of Radiology, St James's Hospital and Trinity College Dublin, James's St, Dublin 8, Ireland.
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Brown C, Burck A, Neep MJ. Workload as a predictor of radiographer preliminary image evaluation accuracy. J Med Radiat Sci 2024. [PMID: 38956894 DOI: 10.1002/jmrs.803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 05/29/2024] [Indexed: 07/04/2024] Open
Abstract
INTRODUCTION Despite a demonstrated high accuracy and reported successful implementations, radiographer preliminary image evaluation (PIE) has been slow and infrequent in its rollout across Australia. A key barrier reported to hamper radiographer PIE service implementation is lack of adequate time to review radiographs and provide an accurate interpretation. This study sought to conduct a correlational analysis between radiographer imaging workload and PIE service accuracy. METHODS A total of 45,373 exams and 1152 PIE comments evenly distributed each month from January 1, 2022, to December 31, 2022, were reviewed. PIE comments were assessed for consistency with the radiologist's report. The imaging workload (average exams completed per hour) was separated into three, eight-hour 'shifts' based on time of imaging. Correlational analysis was performed using linear regression models and assessed for normality using the Shapiro-Wilks test. RESULTS The study reported no significant linear association between increasing average workload and reduced service accuracy (P = 0.136). It was however noted that when the average workload increased beyond 7 exams/hour, average service accuracy for PIE was always below 85%. CONCLUSION This study has demonstrated that, although perceived, there is no statistically significant correlation between x-ray imaging workload and radiographer PIE service accuracy. Consideration of this correlation to be a significant barrier to participation in such a service was not reported at this site.
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Affiliation(s)
- Cameron Brown
- Department of Medical Imaging, Logan Hospital, Meadowbrook, Queensland, Australia
- Department of Medical Imaging, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
| | - Anna Burck
- Department of Medical Imaging, Logan Hospital, Meadowbrook, Queensland, Australia
| | - Michael J Neep
- Department of Medical Imaging, Logan Hospital, Meadowbrook, Queensland, Australia
- Department of Medical Imaging, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
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Kessler R, Hall J, Chipman AK, Hall MK, Amick A. Nurse-focused ultrasound-guided IV program improves core emergency department process measures. J Vasc Access 2024:11297298241230109. [PMID: 38372249 DOI: 10.1177/11297298241230109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2024] Open
Abstract
INTRODUCTION Ultrasound-guided peripheral IV catheter (USGIV) insertion is as an effective procedure to establish access in patients with difficult intravenous access (DIVA), a condition frequently encountered in the Emergency Department (ED). This study describes a DIVA quality improvement program focusing on rapid identification of DIVA patients and emergency nurse USGIV training and evaluates its impact on overall frequency of USGIV use and process measures related to quality of patient care. METHODS This is a retrospective cohort study of patients over 18 years of age, presenting to a single, tertiary care hospital between September 1, 2018 and September 30, 2020. Difference-in-difference analysis was used to compare ED process measures pre- and post-implementation of the DIVA Program, and multivariate logistic regression was used to identify associations between patient characteristics and difficult IV access. RESULTS The frequency of ED encounters associated with USGIV placement more than doubled post-implementation of the DIVA Program, rising from 606 to 1323. There were improved covariate-adjusted time estimates of core ED process measures for encounters associated with USGIV placement post-implementation, including decreases in time to CT with contrast from 4.8 h (95% CI = 4.4-5.2) to 4.1 h (95% CI = 3.8-4.4), pain medications from 2.4 h (95% CI = 2.1-2.6) to 1.8 h (95% CI = 1.6-2.0), IV antibiotics from 3.0 h (95% CI = 2.4-3.7) to 2.1 h (95% CI = 1.5-2.6), and ED length of stay from 6.4 h (95% CI = 6.2-6.6) to 6.0 h (95% CI = 5.9-6.2). CONCLUSION A nurse-focused quality improvement program focused on teaching and promoting USGIV as a modality for managing difficult IV access was associated with increases in USGIV placement and improvements in core process measures related to quality of patient care.
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Affiliation(s)
- Ross Kessler
- Department of Emergency Medicine, University of Washington, Seattle, WA, USA
| | - Jane Hall
- Department of Emergency Medicine, University of Washington, Seattle, WA, USA
| | - Anne K Chipman
- Department of Emergency Medicine, University of Washington, Seattle, WA, USA
| | | | - Ashley Amick
- Department of Emergency Medicine, University of Washington, Seattle, WA, USA
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Bartsch E, Shin S, Sheehan K, Fralick M, Verma A, Razak F, Lapointe‐Shaw L. Advanced imaging use and delays among inpatients with psychiatric comorbidity. Brain Behav 2024; 14:e3425. [PMID: 38361288 PMCID: PMC10869880 DOI: 10.1002/brb3.3425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 10/09/2023] [Accepted: 01/21/2024] [Indexed: 02/17/2024] Open
Abstract
OBJECTIVE To determine whether presence of a psychiatric comorbidity impacts use of inpatient imaging tests and subsequent wait times. METHODS This was a retrospective cohort study of all patients admitted to General Internal Medicine (GIM) at five academic hospitals in Toronto, Ontario from 2010 to 2019. Exposure was presence of a coded psychiatric comorbidity on admission. Primary outcome was time to test, as calculated from the time of test ordering to time of test completion, for computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, or peripherally inserted central catheter (PICC) insertion. Multilevel mixed-effects models were used to identify predictors of time to test, and marginal effects were used to calculate differences in absolute units (h). Secondary outcome was the rate of each type of test included. Subgroup analyses were performed according to type of psychiatric comorbidity: psychotic, mood/anxiety, or substance use disorder. RESULTS There were 196,819 GIM admissions from 2010to 2019. In 77,562 admissions, ≥1 advanced imaging test was performed. After adjusting for all covariates, presence of any psychiatric comorbidity was associated with increased time to test for MRI (adjusted difference: 5.3 h, 95% confidence interval [CI]: 3.9-6.8), PICC (adjusted difference: 3.7 h, 95% CI: 1.6-5.8), and ultrasound (adjusted difference: 3.0 h, 95% CI: 2.3-3.8), but not for CT (adjusted difference: 0.1 h, 95% CI: -0.3 to 0.5). Presence of any psychiatric comorbidity was associated with lower rate of ordering for all test types (adjusted difference: -17.2 tests per 100 days hospitalization, interquartile range: -18.0 to -16.3). CONCLUSIONS There was a lower rate of ordering of advanced imaging among patients with psychiatric comorbidity. Once ordered, time to test completion was longer for MRI, ultrasound, and PICC. Further exploration, such as quantifying rates of cancelled tests and qualitative studies evaluating hospital, provider, and patient barriers to timely advanced imaging, will be helpful in elucidating causes for these disparities.
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Affiliation(s)
- Emily Bartsch
- Division of General Internal MedicineUniversity of TorontoTorontoOntarioCanada
| | - Saeha Shin
- Li Ka Shing Knowledge InstituteSt. Michael's HospitalTorontoOntarioCanada
| | - Kathleen Sheehan
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
- Centre for Mental HealthUniversity Health NetworkTorontoOntarioCanada
| | - Michael Fralick
- Division of General Internal MedicineUniversity of TorontoTorontoOntarioCanada
- Division of General Internal MedicineSinai HealthTorontoOntarioCanada
| | - Amol Verma
- Division of General Internal MedicineUniversity of TorontoTorontoOntarioCanada
- Li Ka Shing Knowledge InstituteSt. Michael's HospitalTorontoOntarioCanada
- Division of General Internal MedicineUnity Health TorontoTorontoOntarioCanada
- Institute of Health Policy, Management and EvaluationUniversity of TorontoTorontoOntarioCanada
| | - Fahad Razak
- Division of General Internal MedicineUniversity of TorontoTorontoOntarioCanada
- Li Ka Shing Knowledge InstituteSt. Michael's HospitalTorontoOntarioCanada
- Division of General Internal MedicineUnity Health TorontoTorontoOntarioCanada
- Institute of Health Policy, Management and EvaluationUniversity of TorontoTorontoOntarioCanada
| | - Lauren Lapointe‐Shaw
- Division of General Internal MedicineUniversity of TorontoTorontoOntarioCanada
- Institute of Health Policy, Management and EvaluationUniversity of TorontoTorontoOntarioCanada
- Division of General Internal MedicineUniversity Health NetworkTorontoOntarioCanada
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Poyiadji N, Beauchamp N, Myers DT, Krupp S, Griffith B. Diagnostic Imaging Utilization in the Emergency Department: Recent Trends in Volume and Radiology Work Relative Value Units. J Am Coll Radiol 2023; 20:1207-1214. [PMID: 37543154 DOI: 10.1016/j.jacr.2023.06.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/24/2023] [Accepted: 06/09/2023] [Indexed: 08/07/2023]
Abstract
PURPOSE The aim of this study was to quantify and characterize the recent trend in emergency department (ED) imaging volumes and radiology work relative value units (wRVUs) at level I and level III trauma centers. METHODS Total annual diagnostic radiology imaging volumes and wRVUs were obtained from level I and level III trauma centers from January 2014 to December 2021. Imaging volumes were analyzed by modality type, examination code, and location. Total annual patient ED encounters (EDEs), annual weighted Emergency Severity Index, and patient admissions from the ED were obtained. Data were analyzed using annual imaging volume or wRVUs per EDE, and percentage change was calculated. RESULTS At the level I trauma center, imaging volumes per EDE increased for chest radiography (5.5%), CT (35.5%), and MRI (56.3%) and decreased for ultrasound (-5.9%) from 2014 to 2021. Imaging volumes per EDE increased for ultrasound (10.4%), CT (74.6%), and MRI (2.0%) and decreased for chest radiography (-4.4%) at the level III trauma center over the same 8-year period. Total wRVUs per EDE increased at both the level I (34.9%) and level III (76.6%) trauma centers over the study period. CONCLUSIONS ED imaging utilization increased over the 8-year study period at both level I and level III trauma centers, with an increase in total wRVUs per EDE. There was a disproportionate increased utilization of advanced imaging, such as CT, over time. ED utilization trends suggest that there will be a continued increase in demand for advanced imaging interpretation, including at lower acuity hospitals, so radiology departments should prepare for this increased work demand.
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Affiliation(s)
- Neo Poyiadji
- Department of Radiology, Henry Ford Hospital, Detroit, Michigan. https://twitter.com/NeoPoyiadji
| | | | - Daniel T Myers
- Vice Chair, Department of Radiology, Henry Ford Hospital, Detroit, Michigan
| | - Seth Krupp
- Vice Chair of Operations, Department of Emergency Medicine, Henry Ford Hospital, Detroit, Michgan
| | - Brent Griffith
- Vice Chair, Division Chief of Neuroradiology, Diagnostic Radiology Residency Program Director, Department of Radiology, Henry Ford Hospital, Detroit, Michigan.
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11
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McLean B, Thompson D. MRI and the Critical Care Patient: Clinical, Operational, and Financial Challenges. Crit Care Res Pract 2023; 2023:2772181. [PMID: 37325272 PMCID: PMC10264715 DOI: 10.1155/2023/2772181] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 03/03/2023] [Accepted: 05/09/2023] [Indexed: 06/17/2023] Open
Abstract
Neuroimaging in conjunction with a neurologic examination has become a valuable resource for today's intensive care unit (ICU) physicians. Imaging provides critical information during the assessment and ongoing neuromonitoring of patients for toxic-metabolic or structural injury of the brain. A patient's condition can change rapidly, and interventions may require imaging. When making this determination, the benefit must be weighed against possible risks associated with intrahospital transport. The patient's condition is assessed to decide if they are stable enough to leave the ICU for an extended period. Intrahospital transport risks include adverse events related to the physical nature of the transport, the change in the environment, or relocating equipment used to monitor the patient. Adverse events can be categorized as minor (e.g., clinical decompensation) or major (e.g., requiring immediate intervention) and may occur in preparation or during transport. Regardless of the type of event experienced, any intervention during transport impacts the patient and may lead to delayed treatment and disruption of critical care. This review summarizes the commentary on the current literature on the associated risks and provides insight into the costs as well as provider experiences. Approximately, one-third of patients who are transported from the ICU to an imaging suite may experience an adverse event. This creates an additional risk for extending a patient's stay in the ICU. The delay in obtaining imaging can negatively impact the patient's treatment plan and affect long-term outcomes as increased disability or mortality. Disruption of ICU therapy can decrease respiratory function after the patient returns from transport. Because of the complex care team needed for patient transport, the staff time alone can cost $200 or more. New technologies and advancements are needed to reduce patient risk and improve safety.
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Affiliation(s)
- Barbara McLean
- Division of Emergency Services and Critical Care, Grady Health System, Atlanta, GA, USA
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12
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Bartsch E, Shin S, Roberts S, MacMillan TE, Fralick M, Liu JJ, Tang T, Kwan JL, Weinerman A, Verma AA, Razak F, Lapointe-Shaw L. Imaging delays among medical inpatients in Toronto, Ontario: A cohort study. PLoS One 2023; 18:e0281327. [PMID: 36735736 PMCID: PMC9897551 DOI: 10.1371/journal.pone.0281327] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 01/20/2023] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Imaging procedures are commonly performed on hospitalized patients and waiting for these could increase length-of-stay. The study objective was to quantify delays for imaging procedures in General Internal Medicine and identify contributing patient, physician, and system factors. METHODS This was a retrospective cohort study of medical inpatients admitted to 5 hospitals in Toronto, Ontario (2010-2019), with at least one imaging procedure (CT, MRI, ultrasound, or peripherally-inserted central catheter [PICC] insertion). The primary outcome was time-to-test, and the secondary outcome was acute length-of-stay after test ordering. RESULTS The study cohort included 73,107 hospitalizations. Time-to-test was longest for MRI (median 22 hours) and shortest for CT (median 7 hours). The greatest contributors to time-to-test were system factors such as hospital site (up to 22 additional hours), location of test ordering (up to 10 additional hours), the timing of test ordering relative to admission (up to 13 additional hours), and ordering during weekends (up to 21 additional hours). Older patient age, having more comorbidities, and residence in a low-income neighborhood were also associated with testing delays. Each additional hour spent waiting for a test was associated with increased acute length-of-stay after test ordering, ranging from 0.4 additional hours for CT to 1.2 hours for MRI. CONCLUSIONS The greatest contributors to testing delays relate to when and where a test was ordered. Wait times affect length-of-stay and the quality of patient care. Hospitals can apply our novel approach to explore opportunities to decrease testing delays locally.
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Affiliation(s)
- Emily Bartsch
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- * E-mail:
| | - Saeha Shin
- Unity Health Toronto, Toronto, Ontario, Canada
| | | | - Thomas E. MacMillan
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of General Internal Medicine, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| | - Michael Fralick
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, Sinai Health System, Toronto, Ontario, Canada
| | - Jessica J. Liu
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of General Internal Medicine, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Terence Tang
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Institute for Better Health, Trillium Health Partners, Mississauga, Ontario, Canada
| | - Janice L. Kwan
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, Sinai Health System, Toronto, Ontario, Canada
| | - Adina Weinerman
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Amol A. Verma
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Unity Health Toronto, Toronto, Ontario, Canada
- Division of General Internal Medicine, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Fahad Razak
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Unity Health Toronto, Toronto, Ontario, Canada
- Division of General Internal Medicine, St. Michael’s Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Lauren Lapointe-Shaw
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of General Internal Medicine, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
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13
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Kuoy E, Glavis-Bloom J, Hovis G, Yep B, Biswas A, Masudathaya LA, Norrick LA, Limfueco J, Soun JE, Chang PD, Chu E, Akbari Y, Yaghmai V, Fox JC, Yu W, Chow DS. Point-of-Care Brain MRI: Preliminary Results from a Single-Center Retrospective Study. Radiology 2022; 305:666-671. [PMID: 35916678 PMCID: PMC9713449 DOI: 10.1148/radiol.211721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 05/13/2022] [Accepted: 06/03/2022] [Indexed: 11/11/2022]
Abstract
Background Point-of-care (POC) MRI is a bedside imaging technology with fewer than five units in clinical use in the United States and a paucity of scientific studies on clinical applications. Purpose To evaluate the clinical and operational impacts of deploying POC MRI in emergency department (ED) and intensive care unit (ICU) patient settings for bedside neuroimaging, including the turnaround time. Materials and Methods In this preliminary retrospective study, all patients in the ED and ICU at a single academic medical center who underwent noncontrast brain MRI from January 2021 to June 2021 were investigated to determine the number of patients who underwent bedside POC MRI. Turnaround time, examination limitations, relevant findings, and potential CT and fixed MRI findings were recorded for patients who underwent POC MRI. Descriptive statistics were used to describe clinical variables. The Mann-Whitney U test was used to compare the turnaround time between POC MRI and fixed MRI examinations. Results Of 638 noncontrast brain MRI examinations, 36 POC MRI examinations were performed in 35 patients (median age, 66 years [IQR, 57-77 years]; 21 women), with one patient undergoing two POC MRI examinations. Of the 36 POC MRI examinations, 13 (36%) occurred in the ED and 23 (64%) in the ICU. There were 12 of 36 (33%) POC MRI examinations interpreted as negative, 14 of 36 (39%) with clinically significant imaging findings, and 10 of 36 (28%) deemed nondiagnostic for reasons such as patient motion. Of 23 diagnostic POC MRI examinations with comparison CT available, three (13%) demonstrated acute infarctions not apparent on CT scans. Of seven diagnostic POC MRI examinations with subsequent fixed MRI examinations, two (29%) demonstrated missed versus interval subcentimeter infarctions, while the remaining demonstrated no change. The median turnaround time of POC MRI was 3.4 hours in the ED and 5.3 hours in the ICU. Conclusion Point-of-care (POC) MRI was performed rapidly in the emergency department and intensive care unit. A few POC MRI examinations demonstrated acute infarctions not apparent at standard-of-care CT examinations. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Anzai and Moy in this issue.
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Affiliation(s)
- Edward Kuoy
- From the Department of Radiological Sciences (E.K., J.G.B., B.Y.,
L.A.N., J.L., J.E.S., P.D.C., E.C., V.Y., D.S.C.), Center for Artificial
Intelligence in Diagnostic Medicine (A.B., L.A.M., P.D.C., D.S.C.), Department
of Neurology (Y.A., W.Y.), and Department of Emergency Medicine (J.C.F.),
University of California, Irvine, 101 The City Drive South, Orange, CA 92868;
and University of California, Irvine School of Medicine, Irvine, Calif
(G.H.)
| | - Justin Glavis-Bloom
- From the Department of Radiological Sciences (E.K., J.G.B., B.Y.,
L.A.N., J.L., J.E.S., P.D.C., E.C., V.Y., D.S.C.), Center for Artificial
Intelligence in Diagnostic Medicine (A.B., L.A.M., P.D.C., D.S.C.), Department
of Neurology (Y.A., W.Y.), and Department of Emergency Medicine (J.C.F.),
University of California, Irvine, 101 The City Drive South, Orange, CA 92868;
and University of California, Irvine School of Medicine, Irvine, Calif
(G.H.)
| | - Gabrielle Hovis
- From the Department of Radiological Sciences (E.K., J.G.B., B.Y.,
L.A.N., J.L., J.E.S., P.D.C., E.C., V.Y., D.S.C.), Center for Artificial
Intelligence in Diagnostic Medicine (A.B., L.A.M., P.D.C., D.S.C.), Department
of Neurology (Y.A., W.Y.), and Department of Emergency Medicine (J.C.F.),
University of California, Irvine, 101 The City Drive South, Orange, CA 92868;
and University of California, Irvine School of Medicine, Irvine, Calif
(G.H.)
| | - Brian Yep
- From the Department of Radiological Sciences (E.K., J.G.B., B.Y.,
L.A.N., J.L., J.E.S., P.D.C., E.C., V.Y., D.S.C.), Center for Artificial
Intelligence in Diagnostic Medicine (A.B., L.A.M., P.D.C., D.S.C.), Department
of Neurology (Y.A., W.Y.), and Department of Emergency Medicine (J.C.F.),
University of California, Irvine, 101 The City Drive South, Orange, CA 92868;
and University of California, Irvine School of Medicine, Irvine, Calif
(G.H.)
| | - Arabdha Biswas
- From the Department of Radiological Sciences (E.K., J.G.B., B.Y.,
L.A.N., J.L., J.E.S., P.D.C., E.C., V.Y., D.S.C.), Center for Artificial
Intelligence in Diagnostic Medicine (A.B., L.A.M., P.D.C., D.S.C.), Department
of Neurology (Y.A., W.Y.), and Department of Emergency Medicine (J.C.F.),
University of California, Irvine, 101 The City Drive South, Orange, CA 92868;
and University of California, Irvine School of Medicine, Irvine, Calif
(G.H.)
| | - Lu-Aung Masudathaya
- From the Department of Radiological Sciences (E.K., J.G.B., B.Y.,
L.A.N., J.L., J.E.S., P.D.C., E.C., V.Y., D.S.C.), Center for Artificial
Intelligence in Diagnostic Medicine (A.B., L.A.M., P.D.C., D.S.C.), Department
of Neurology (Y.A., W.Y.), and Department of Emergency Medicine (J.C.F.),
University of California, Irvine, 101 The City Drive South, Orange, CA 92868;
and University of California, Irvine School of Medicine, Irvine, Calif
(G.H.)
| | - Lori A. Norrick
- From the Department of Radiological Sciences (E.K., J.G.B., B.Y.,
L.A.N., J.L., J.E.S., P.D.C., E.C., V.Y., D.S.C.), Center for Artificial
Intelligence in Diagnostic Medicine (A.B., L.A.M., P.D.C., D.S.C.), Department
of Neurology (Y.A., W.Y.), and Department of Emergency Medicine (J.C.F.),
University of California, Irvine, 101 The City Drive South, Orange, CA 92868;
and University of California, Irvine School of Medicine, Irvine, Calif
(G.H.)
| | - Julie Limfueco
- From the Department of Radiological Sciences (E.K., J.G.B., B.Y.,
L.A.N., J.L., J.E.S., P.D.C., E.C., V.Y., D.S.C.), Center for Artificial
Intelligence in Diagnostic Medicine (A.B., L.A.M., P.D.C., D.S.C.), Department
of Neurology (Y.A., W.Y.), and Department of Emergency Medicine (J.C.F.),
University of California, Irvine, 101 The City Drive South, Orange, CA 92868;
and University of California, Irvine School of Medicine, Irvine, Calif
(G.H.)
| | - Jennifer E. Soun
- From the Department of Radiological Sciences (E.K., J.G.B., B.Y.,
L.A.N., J.L., J.E.S., P.D.C., E.C., V.Y., D.S.C.), Center for Artificial
Intelligence in Diagnostic Medicine (A.B., L.A.M., P.D.C., D.S.C.), Department
of Neurology (Y.A., W.Y.), and Department of Emergency Medicine (J.C.F.),
University of California, Irvine, 101 The City Drive South, Orange, CA 92868;
and University of California, Irvine School of Medicine, Irvine, Calif
(G.H.)
| | - Peter D. Chang
- From the Department of Radiological Sciences (E.K., J.G.B., B.Y.,
L.A.N., J.L., J.E.S., P.D.C., E.C., V.Y., D.S.C.), Center for Artificial
Intelligence in Diagnostic Medicine (A.B., L.A.M., P.D.C., D.S.C.), Department
of Neurology (Y.A., W.Y.), and Department of Emergency Medicine (J.C.F.),
University of California, Irvine, 101 The City Drive South, Orange, CA 92868;
and University of California, Irvine School of Medicine, Irvine, Calif
(G.H.)
| | - Eleanor Chu
- From the Department of Radiological Sciences (E.K., J.G.B., B.Y.,
L.A.N., J.L., J.E.S., P.D.C., E.C., V.Y., D.S.C.), Center for Artificial
Intelligence in Diagnostic Medicine (A.B., L.A.M., P.D.C., D.S.C.), Department
of Neurology (Y.A., W.Y.), and Department of Emergency Medicine (J.C.F.),
University of California, Irvine, 101 The City Drive South, Orange, CA 92868;
and University of California, Irvine School of Medicine, Irvine, Calif
(G.H.)
| | - Yama Akbari
- From the Department of Radiological Sciences (E.K., J.G.B., B.Y.,
L.A.N., J.L., J.E.S., P.D.C., E.C., V.Y., D.S.C.), Center for Artificial
Intelligence in Diagnostic Medicine (A.B., L.A.M., P.D.C., D.S.C.), Department
of Neurology (Y.A., W.Y.), and Department of Emergency Medicine (J.C.F.),
University of California, Irvine, 101 The City Drive South, Orange, CA 92868;
and University of California, Irvine School of Medicine, Irvine, Calif
(G.H.)
| | - Vahid Yaghmai
- From the Department of Radiological Sciences (E.K., J.G.B., B.Y.,
L.A.N., J.L., J.E.S., P.D.C., E.C., V.Y., D.S.C.), Center for Artificial
Intelligence in Diagnostic Medicine (A.B., L.A.M., P.D.C., D.S.C.), Department
of Neurology (Y.A., W.Y.), and Department of Emergency Medicine (J.C.F.),
University of California, Irvine, 101 The City Drive South, Orange, CA 92868;
and University of California, Irvine School of Medicine, Irvine, Calif
(G.H.)
| | - John C. Fox
- From the Department of Radiological Sciences (E.K., J.G.B., B.Y.,
L.A.N., J.L., J.E.S., P.D.C., E.C., V.Y., D.S.C.), Center for Artificial
Intelligence in Diagnostic Medicine (A.B., L.A.M., P.D.C., D.S.C.), Department
of Neurology (Y.A., W.Y.), and Department of Emergency Medicine (J.C.F.),
University of California, Irvine, 101 The City Drive South, Orange, CA 92868;
and University of California, Irvine School of Medicine, Irvine, Calif
(G.H.)
| | - Wengui Yu
- From the Department of Radiological Sciences (E.K., J.G.B., B.Y.,
L.A.N., J.L., J.E.S., P.D.C., E.C., V.Y., D.S.C.), Center for Artificial
Intelligence in Diagnostic Medicine (A.B., L.A.M., P.D.C., D.S.C.), Department
of Neurology (Y.A., W.Y.), and Department of Emergency Medicine (J.C.F.),
University of California, Irvine, 101 The City Drive South, Orange, CA 92868;
and University of California, Irvine School of Medicine, Irvine, Calif
(G.H.)
| | - Daniel S. Chow
- From the Department of Radiological Sciences (E.K., J.G.B., B.Y.,
L.A.N., J.L., J.E.S., P.D.C., E.C., V.Y., D.S.C.), Center for Artificial
Intelligence in Diagnostic Medicine (A.B., L.A.M., P.D.C., D.S.C.), Department
of Neurology (Y.A., W.Y.), and Department of Emergency Medicine (J.C.F.),
University of California, Irvine, 101 The City Drive South, Orange, CA 92868;
and University of California, Irvine School of Medicine, Irvine, Calif
(G.H.)
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14
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Hartley J, Agrawal B, Narang K, Kelliher E, Lunn E, Bhudia R. Expanding our concept of simulation in radiology: a "Radiology Requesting" session for undergraduate medical students. BJR Open 2022; 4:20220012. [PMID: 38525164 PMCID: PMC10958647 DOI: 10.1259/bjro.20220012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 07/28/2022] [Accepted: 08/15/2022] [Indexed: 11/05/2022] Open
Abstract
Objectives Whilst radiology is central to the modern practice of medicine, graduating doctors often feel unprepared for radiology in practice. Traditional radiological education focuses on image interpretation. Key areas which are undertaught include communication skills relating to the radiology department. We sought to design teaching to fill this important gap. Methods We developed a small group session using in situ simulation to enable final and penultimate year medical students to develop radiology-related communication and reasoning skills. Students were given realistic cases, and then challenged to gather further information and decide on appropriate radiology before having the opportunity to call a consultant radiologist on a hospital phone and simulate requesting the appropriate imaging with high fidelity. We evaluated the impact of the teaching through before-and-after Likert scales asking students about their confidence with various aspects of requesting imaging, and qualitatively through open-ended short answer questionnaires. Results The session was delivered to 99 students over 24 sessions. Self-reported confidence in discussing imaging increased from an average of 1.7/5 to 3.4/5 as a result of the teaching (p < 0.001) and students perceived that they had developed key skills in identifying and communicating relevant information. Conclusions The success of this innovative session suggests that it could form a key part of future undergraduate radiology education, and that the method could be applied in other areas to broaden the application of simulation. Advances in knowledge This study highlights a gap in undergraduate medical education. It describes and demonstrates the effectiveness of an intervention to fill this gap.
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15
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Burgan A, Embury-Young Y. Improving Patient Flow in the Surgical Assessment Unit by Facilitating Access to Computer Tomography Scanning. Cureus 2022; 14:e30010. [DOI: 10.7759/cureus.30010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/06/2022] [Indexed: 11/06/2022] Open
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16
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Fruauff A, Trepanier C, Shaish H, Luk L. Delays in imaging diagnosis of acute abdominal pain in the emergency setting. Clin Imaging 2022; 90:32-38. [DOI: 10.1016/j.clinimag.2022.06.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 06/09/2022] [Accepted: 06/26/2022] [Indexed: 11/28/2022]
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17
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Hong GS, Lee CW, Lee JH, Kim B, Lee JB. Clinical Impact of a Quality Improvement Program Including Dedicated Emergency Radiology Personnel on Emergency Surgical Management: A Propensity Score-Matching Study. Korean J Radiol 2022; 23:878-888. [PMID: 35926842 PMCID: PMC9434742 DOI: 10.3348/kjr.2022.0278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 06/12/2022] [Accepted: 06/13/2022] [Indexed: 11/15/2022] Open
Abstract
Objective To investigate the clinical impact of a quality improvement program including dedicated emergency radiology personnel (QIP-DERP) on the management of emergency surgical patients in the emergency department (ED). Materials and Methods This retrospective study identified all adult patients (n = 3667) who underwent preoperative body CT, for which written radiology reports were generated, and who subsequently underwent non-elective surgery between 2007 and 2018 in the ED of a single urban academic tertiary medical institution. The study cohort was divided into periods before and after the initiation of QIP-DERP. We matched the control group patients (i.e., before QIP-DERP) to the QIP-DERP group patients using propensity score (PS), with a 1:2 matching ratio for the main analysis and a 1:1 ratio for sub-analyses separately for daytime (8:00 AM to 5:00 PM on weekdays) and after-hours. The primary outcome was timing of emergency surgery (TES), which was defined as the time from ED arrival to surgical intervention. The secondary outcomes included ED length of stay (LOS) and intensive care unit (ICU) admission rate. Results According to the PS-matched analysis, compared with the control group, QIP-DERP significantly decreased the median TES from 16.7 hours (interquartile range, 9.4–27.5 hours) to 11.6 hours (6.6–21.9 hours) (p < 0.001) and the ICU admission rate from 33.3% (205/616) to 23.9% (295/1232) (p < 0.001). During after-hours, the QIP-DERP significantly reduced median TES from 19.9 hours (12.5–30.1 hours) to 9.6 hours (5.7–19.1 hours) (p < 0.001), median ED LOS from 9.1 hours (5.6–16.5 hours) to 6.7 hours (4.9–11.3 hours) (p < 0.001), and ICU admission rate from 35.5% (108/304) to 22.0% (67/304) (p < 0.001). Conclusion QIP-DERP implementation improved the quality of emergency surgical management in the ED by reducing TES, ED LOS, and ICU admission rate, particularly during after-hours.
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Affiliation(s)
- Gil-Sun Hong
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Choong Wook Lee
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
| | - Ju Hee Lee
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Bona Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Jung Bok Lee
- Department of Clinical Epidemiology and Biostatistics, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
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18
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Calvillo AÁG, Kodaverdian LC, Garcia R, Lichtensztajn DY, Bucknor MD. Patient-level factors influencing adherence to follow-up imaging recommendations. Clin Imaging 2022; 90:5-10. [PMID: 35907273 DOI: 10.1016/j.clinimag.2022.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 07/09/2022] [Accepted: 07/18/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE To determine which, if any, patient-level factors were associated with differences in completion of follow-up imaging recommendations at a tertiary academic medical center. METHODS In this IRB-approved, retrospective cohort study, approximately one month of imaging recommendations were reviewed from 2017 at a single academic institution that contained key words recommending follow-up imaging. Age, gender, race/ethnicity, insurance, smoking history, primary language, BMI, and home address were recorded via chart extraction. Home addresses were geocoded to Census Block Groups and assigned to a quintile of neighborhood socioeconomic status. A multivariate logistic regression model was used to evaluate each predictor variable with significance set to p = 0.05. RESULTS A total of 13,421 imaging reports that included additional follow-up recommendations were identified. Of the 1013 included reports that recommended follow-up, 350 recommended additional imaging and were analyzed. Three hundred eight (88.00%) had corresponding follow-up imaging present and the insurance payor was known for 266 (86.36%) patients: 146 (47.40%) had commercial insurance, 35 (11.36%) had Medicaid, and 85 (27.60%) had Medicare. Patients with Medicaid had over four times lower odds of completing follow-up imaging compared to patients with commercial insurance (OR 0.24, 95% CI 0.06-0.88, p = 0.032). Age, gender, race/ethnicity, smoking history, primary language, BMI, and neighborhood socioeconomic status were not independently associated with differences in follow-up imaging completion. CONCLUSION Patients with Medicaid had decreased odds of completing follow-up imaging recommendations compared to patients with commercial insurance.
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Affiliation(s)
- Andrés Ángel-González Calvillo
- University of California San Francisco School of Medicine, 513 Parnassus Ave., Suite S-245, San Francisco, CA 94143, USA.
| | | | - Roxana Garcia
- University of California San Francisco School of Medicine, 513 Parnassus Ave., Suite S-245, San Francisco, CA 94143, USA.
| | - Daphne Y Lichtensztajn
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16th St., 2nd floor, San Francisco, CA 94158, USA.
| | - Matthew D Bucknor
- Department of Radiology and Biomedical Imaging, University of California San Francisco, 185 Berry St., Suite 350, Lobby 6, San Francisco, CA 94107, USA.
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19
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Beekman R, Crawford A, Mazurek MH, Prabhat AM, Chavva IR, Parasuram N, Kim N, Kim JA, Petersen N, de Havenon A, Khosla A, Honiden S, Miller PE, Wira C, Daley J, Payabvash S, Greer DM, Gilmore EJ, Taylor Kimberly W, Sheth KN. Bedside monitoring of hypoxic ischemic brain injury using low-field, portable brain magnetic resonance imaging after cardiac arrest. Resuscitation 2022; 176:150-158. [PMID: 35562094 PMCID: PMC9746653 DOI: 10.1016/j.resuscitation.2022.05.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/25/2022] [Accepted: 05/03/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Assessment of brain injury severity is critically important after survival from cardiac arrest (CA). Recent advances in low-field MRI technology have permitted the acquisition of clinically useful bedside brain imaging. Our objective was to deploy a novel approach for evaluating brain injury after CA in critically ill patients at high risk for adverse neurological outcome. METHODS This retrospective, single center study involved review of all consecutive portable MRIs performed as part of clinical care for CA patients between September 2020 and January 2022. Portable MR images were retrospectively reviewed by a blinded board-certified neuroradiologist (S.P.). Fluid-inversion recovery (FLAIR) signal intensities were measured in select regions of interest. RESULTS We performed 22 low-field MRI examinations in 19 patients resuscitated from CA (68.4% male, mean [standard deviation] age, 51.8 [13.1] years). Twelve patients (63.2%) had findings consistent with HIBI on conventional neuroimaging radiology report. Low-field MRI detected findings consistent with HIBI in all of these patients. Low-field MRI was acquired at a median (interquartile range) of 78 (40-136) hours post-arrest. Quantitatively, we measured FLAIR signal intensity in three regions of interest, which were higher amongst patients with confirmed HIBI. Low-field MRI was completed in all patients without disruption of intensive care unit equipment monitoring and no safety events occurred. CONCLUSION In a critically ill CA population in whom MR imaging is often not feasible, low-field MRI can be deployed at the bedside to identify HIBI. Low-field MRI provides an opportunity to evaluate the time-dependent nature of MRI findings in CA survivors.
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Affiliation(s)
- Rachel Beekman
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA.
| | - Anna Crawford
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Mercy H Mazurek
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Anjali M Prabhat
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Isha R Chavva
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Nethra Parasuram
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Noah Kim
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Jennifer A Kim
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Nils Petersen
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Adam de Havenon
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Akhil Khosla
- Department of Pulmonary Critical Care, Yale School of Medicine, New Haven, CT, USA
| | - Shyoko Honiden
- Department of Pulmonary Critical Care, Yale School of Medicine, New Haven, CT, USA
| | - P Elliott Miller
- Section of Cardiology, Yale School of Medicine, New Haven, CT, USA
| | - Charles Wira
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA
| | - James Daley
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA
| | | | - David M Greer
- Department of Neurology, Boston University Medical Center, Boston, MA, USA
| | - Emily J Gilmore
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - W Taylor Kimberly
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Kevin N Sheth
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
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20
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Shah V, Chillakuru YR, Rybkin A, Seo Y, Vu T, Sohn JH. Algorithmic Prediction of Delayed Radiology Turn-Around-Time during Non-Business Hours. Acad Radiol 2022; 29:e82-e90. [PMID: 34187741 DOI: 10.1016/j.acra.2021.05.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 05/08/2021] [Accepted: 05/15/2021] [Indexed: 11/01/2022]
Abstract
RATIONALE AND OBJECTIVES Radiology turnaround time is an important quality measure that can impact hospital workflow and patient outcomes. We aimed to develop a machine learning model to predict delayed turnaround time during non-business hours and identify factors that contribute to this delay. MATERIALS AND METHODS This retrospective study consisted of 15,117 CT cases from May 2018 to May 2019 during non-business hours at two hospital campuses after applying exclusion criteria. Of these 15,177 cases, 7,532 were inpatient cases and 7,585 were emergency cases. Order time, scan time, first communication by radiologist, free-text indications, and other clinical metadata were extracted. A combined XGBoost classifier and Random Forest natural language processing model was trained with 85% of the data and tested with 15% of the data. The model predicted two measures of delay: when the exam was ordered to first communication (total time) and when the scan was completed to first communication (interpretation time). The model was analyzed with the area under the curve (AUC) of receiver operating characteristic (ROC) and feature importance. Source code: https://bit.ly/2UrLiVJ RESULTS: The algorithm reached an AUC of 0.85, with a 95% confidence interval [0.83, 0.87], when predicting delays greater than 245 minutes for "total time" and 0.71, with a 95% confidence interval [0.68, 0.73], when predicting delays greater than 57 minutes for "interpretation time". At our institution, CT scan description (e.g. "CTA chest pulmonary embolism protocol"), time of day, and year in training were more predictive features compared to body part, inpatient status, and hospital campus for both interpretation and total time delay. CONCLUSION This algorithm can be applied clinically when a physician is ordering the scan to reasonably predict delayed turnaround time. Such a model can be leveraged to identify factors associated with delays and emphasize areas for improvement to patient outcomes.
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21
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Li D, Basilico R, Blanco A, Calli C, Dick E, Kirkpatrick IDC, Nicolaou S, Patlas MN. Emergency Radiology: Evolution, Current Status, and Future Directions. Can Assoc Radiol J 2022; 73:697-703. [PMID: 35470687 DOI: 10.1177/08465371221088924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Emergency Radiology is a clinical practice and an academic discipline that has rapidly gained increasing global recognition among radiology and emergency/critical care departments and trauma services around the world. As with other subspecialties, Emergency Radiology practice has a unique scope and purpose and presents with its own unique challenges. There are several advantages of having a dedicated Emergency Radiology section, perhaps most important of which is the broad clinical skillset that Emergency Radiologists are known for. This multi-society paper, representing the views of Emergency Radiology societies in Canada and Europe, outlines several value-oriented contributions of Emergency Radiologists and briefly discusses the current state of Emergency Radiology as a subspecialty.
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Affiliation(s)
- David Li
- Division of Emergency/Trauma Radiology, Department of Radiology, 153003McMaster University, Hamilton, ON, Canada
| | | | - Ana Blanco
- University Hospital Morales Meseguer, Murcia, Spain
| | - Cem Calli
- 323336Ege University Medical Faculty, Bornova Izmir, Turkey
| | - Elizabeth Dick
- St Mary's Hospital, 8946Imperial College NHS Trust, London, UK
| | - Iain D C Kirkpatrick
- Department of Diagnostic Imaging, 8664University of Manitoba, Winnipeg, MB, Canada
| | - Savvas Nicolaou
- Division of Emergency Radiology, Vancouver General Hospital, Vancouver, BC, Canada
| | - Michael N Patlas
- Division of Emergency/Trauma Radiology, Department of Radiology, 153003McMaster University, Hamilton, ON, Canada
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22
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Loke DE, Farcas AM, Ko JS, Aluce LM, McDonald VR, Shakeri N, Fant AL. Implementation of a standardized pregnancy screening process to address gender disparities in radiology turn-around-time and ED length of stay. CAN J EMERG MED 2022; 24:206-213. [PMID: 35018621 DOI: 10.1007/s43678-021-00227-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 10/27/2021] [Indexed: 11/02/2022]
Abstract
OBJECTIVE The objective of this initiative was to quantify and intervene upon suspected gender disparities in CT turn-around-time and emergency department (ED) length of stay. METHODS This was a single-site before-after quality improvement initiative including patients aged 12-50 who underwent CT chest and/or abdomen/pelvis. The intervention included protocolization of the pregnancy screening process in triage. Primary outcomes included the difference between women of childbearing age and similarly aged men in regards to CT turn-around-time and ED length of stay. Pre- and post-intervention data were analyzed, including an "intensive intervention period" subanalysis. RESULTS CT turn-around-time for women of childbearing age was 19 min longer than for similarly aged men at baseline and did not change significantly post-intervention. ED length of stay was 27 min longer for women of childbearing age compared to similarly aged men at baseline and 7 min longer post-intervention, although this was still a significant difference. During the intensive intervention period, CT turn-around-time for women of childbearing age was 15 min longer than similarly aged men but the difference in ED length of stay of 10 min was no longer significant. CONCLUSIONS There is gender disparity in CT turn-around-time and ED length of stay in our ED, highlighting an important area for improvement to promote equitable care. A quality improvement initiative that aimed to protocolize pregnancy testing in triage did not show sustainable improvement in these outcomes but did result in increased pregnancy testing.
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Affiliation(s)
- Dana E Loke
- Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, 211 E Ontario St, Suite 200, Chicago, IL, 60611, USA.
| | - Andra M Farcas
- Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, 211 E Ontario St, Suite 200, Chicago, IL, 60611, USA
| | - Justine S Ko
- Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, 211 E Ontario St, Suite 200, Chicago, IL, 60611, USA
| | - Laurie M Aluce
- Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, 211 E Ontario St, Suite 200, Chicago, IL, 60611, USA
| | - Valerie R McDonald
- Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, 211 E Ontario St, Suite 200, Chicago, IL, 60611, USA
| | - Nahzinine Shakeri
- Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, 211 E Ontario St, Suite 200, Chicago, IL, 60611, USA
| | - Abra L Fant
- Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, 211 E Ontario St, Suite 200, Chicago, IL, 60611, USA
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23
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Robinson NB, Gao M, Patel PA, Davidson KW, Peacock J, Herron CR, Baker AC, Hentel KA, Oh PS. Secondary review reduced inpatient MRI orders and avoidable hospital days. Clin Imaging 2021; 82:156-160. [PMID: 34844100 DOI: 10.1016/j.clinimag.2021.11.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 10/21/2021] [Accepted: 11/09/2021] [Indexed: 11/27/2022]
Abstract
INTRODUCTION Medical centers have dramatically increased the use of magnetic resonance imaging (MRI). At 2 large academic tertiary care centers in New York City, nearly half of inpatient MRI orders took more than 12 h to complete, delaying patient discharge and increasing avoidable hospital days. We posited that transitioning inpatient MRIs to outpatient facilities, when safe and appropriate, could reduce inpatient MRI orders and avoidable hospital days. METHODS We manually reviewed 59 inpatient MRI orders delayed on the estimated date of discharge (EDD). These orders were often delayed due to no standard process to escalate orders for medical reasons or no system to coordinate outpatient orders. We developed a revised workflow involving an automation platform that flagged inpatient MRI orders requested within 24 h of the EDD and emailed the care team to request a second review of the order. The care team reconsidered whether the order was (1) required for discharge, (2) non-urgent and could be converted to an outpatient order, or (3) unnecessary and could be canceled. RESULTS Over 9 months, the automation platform flagged 618 inpatient MRI orders, of which 53.9% (333/618) were reviewed by the care team. Among the orders, 24.0% (80/333) of reviewed orders and 12.9% (80/618) of all orders were transitioned to either outpatient or canceled orders. These transitioned orders were associated with 267 fewer avoidable hospital days and a cost savings of $199,194. CONCLUSION A standardized process and second review of inpatient MRI orders on the EDD can reduce inappropriate orders and more effectively use inpatient imaging resources. PRECIS A standardized workflow and automation platform encouraged a second review of inpatient MRI orders to reduce inappropriate orders, avoidable hospital days, and hospital costs.
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Affiliation(s)
- N Bryce Robinson
- Department of Surgery, New York-Presbyterian, Weill Cornell Medicine, 525 E 68th Street, New York, NY 10065, United States of America.
| | - Michael Gao
- Department of Medicine, New York-Presbyterian, Weill Cornell Medicine, 525 E 68th Street, New York, NY, United States of America.
| | - Parimal A Patel
- Department of Medicine, New York-Presbyterian, Weill Cornell Medicine, 525 E 68th Street, New York, NY, United States of America.
| | - Karina W Davidson
- Center for Personalized Health, Feinstein Institutes for Medical Research, Northwell Health, 350 Community Drive, Manhasset, NY, United States of America.
| | - James Peacock
- Department of Medicine, White Plains Hospital, 41 East Post Road, White Plains, NY 10601, United States of America.
| | - Crystal R Herron
- Center for Personalized Health, Feinstein Institutes for Medical Research, Northwell Health, 350 Community Drive, Manhasset, NY, United States of America.
| | - Alexandra C Baker
- Department of Surgery, New York-Presbyterian, Weill Cornell Medicine, 525 E 68th Street, New York, NY 10065, United States of America
| | - Keith A Hentel
- Department of Radiology, New York-Presbyterian, Weill Cornell Medicine, 525 E 68th Street, New York, NY, United States of America.
| | - P Stephen Oh
- Department of Surgery, New York-Presbyterian, Weill Cornell Medicine, 525 E 68th Street, New York, NY 10065, United States of America.
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24
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Bruen R, Stirling A, Ryan M, Sheehan M, MacMahon P. Shelling the myth: allergies to Iodine containing substances and risk of reaction to Iodinated contrast media. Emerg Radiol 2021; 29:67-73. [PMID: 34609674 DOI: 10.1007/s10140-021-01989-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 09/25/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE In excess of 100 million procedures using iodinated radio-contrast media are conducted each year. There is a common misunderstanding regarding the links between allergy to iodinated substances and the risk of allergic reaction to intravenous iodinated contrast agents. These perceived risks are managed via administration of corticosteroids or avoidance of iodinated contrast altogether. METHODS An extensive review of published literature on scientific databases and international guidelines was conducted in order to inform the research question. A questionnaire was formulated and distributed to hospital doctors in four tertiary centres. Within this questionnaire, hospital doctors were presented with six different scenarios of bona fide allergy to iodinated substances (e.g. shellfish) and asked to select the treatment response option which they deemed to be the most suitable from a choice of three (standard contrast scan/delay scan with pre-medication/change to non-contrast scan). RESULTS Eighty-seven questionnaire responses were received. Contrast (standard protocol) was the most appropriate regimen in the setting of all the listed allergies. This was identified correctly by 76%, 69%, 44%, 32%, 18% and 14% for kiwi, fish, poly-food, shellfish, betadine and tincture of iodine allergies, respectively. CONCLUSIONS There is a lack of understanding amongst local junior medical staff regarding administration of iodinated contrast media to patients with a history of allergy to iodinated substances. These misconceptions may potentiate the unnecessary usage of pre-medication and ordering of non-contrast scans in the setting of a gold-standard enhanced scan. Findings from this study suggest that there is a need for future education efforts targeted during the basic specialty training stage.
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Affiliation(s)
| | - Aaron Stirling
- Department of Radiology, Mater Misericordiae University Hospital, Eccles Street, Dublin 7, Ireland
| | - M Ryan
- Department of Radiology, Beaumont Hospital, Beaumont, Dublin 9, Ireland
| | - M Sheehan
- Department of Radiology, Beaumont Hospital, Beaumont, Dublin 9, Ireland
| | - Peter MacMahon
- Department of Radiology, Mater Misericordiae University Hospital, Eccles Street, Dublin 7, Ireland.,School of Medicine, University College Dublin, Dublin, Ireland
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25
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Hovis G, Langdorf M, Dang E, Chow D. MRI at the Bedside: A Case Report Comparing Fixed and Portable Magnetic Resonance Imaging for Suspected Stroke. Cureus 2021; 13:e16904. [PMID: 34513477 PMCID: PMC8412058 DOI: 10.7759/cureus.16904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/05/2021] [Indexed: 11/29/2022] Open
Abstract
Magnetic resonance imaging (MRI) provides high-contrast resolution and is the preferred diagnostic tool for neurological disease. However, long exam times discourage MRI in emergency settings, and high-field MRI scanners (1.5-3T) require dedicated imaging suites. New, portable low-field-strength MRI machines (0.064T) have lower resolution than fixed MRI, but do not require restrictive environments or intrahospital transport. We present a case of a 78-year-old male with altered mental status who underwent 0.064T portable MRI and fixed 3T MRI exams in the emergency department. Imaging showed no evidence of acute infarction or intracranial lesions. The 0.064T images were of poor quality relative to 3T sequences, but the results of the portable MRI agreed with the conventional 3T MRI and a computed tomography scan from the same day. The compatible imaging results suggest that portable, low-field MRI can aid in neurological diagnosis without transporting patients to the MRI suite. Further studies should expand this comparison between high- and low-field MRI to better characterize the role and clinical applications of point-of-care MRI.
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Affiliation(s)
- Gabrielle Hovis
- Emergency Medicine, University of California Irvine Medical Center, Orange, USA
| | - Mark Langdorf
- Emergency Medicine, University of California Irvine Medical Center, Orange, USA
| | - Eric Dang
- Emergency Medicine, University of California Irvine Medical Center, Orange, USA
| | - Daniel Chow
- Radiology, University of California Irvine Medical Center, Orange, USA
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26
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Simelane T, Ryan DJ, Stoyanov S, Bennett D, McEntee M, Maher MM, O'Tuathaigh CMP, O'Connor OJ. Bridging the divide between medical school and clinical practice: identification of six key learning outcomes for an undergraduate preparatory course in radiology. Insights Imaging 2021; 12:17. [PMID: 33576894 PMCID: PMC7881064 DOI: 10.1186/s13244-021-00971-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 01/19/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND There exists a significant divide between what is learnt in medical school and subsequently what is required to practice medicine effectively. Despite multiple strategies to remedy this discordance, the problem persists. Here, we describe the identification of a comprehensive set of learning outcomes for a preparation for practice course in radiology. METHODS Assessment of interns' readiness to interact with the radiology department was conducted using a national survey of both interns and radiologists. In parallel, group concept mapping (GCM) which involves a combination of qualitative and quantitative techniques was used to identify the shared understanding of participants from a diverse range of medical specialties regarding what topics should be included in an intern preparatory course for interacting with the radiology department. RESULTS The survey demonstrated that most interns and radiologists felt that undergraduate medical training did not prepare interns to interact with the radiology department. GCM identified six learning outcomes that should be targeted when designing a preparatory module: requesting investigations; clinical decision support; radiology department IT and communication; adverse reactions and risks; interpretation of radiology results and urgent imaging. The thematic clusters from the group concept mapping corroborated the deficiencies identified in the national survey. CONCLUSION We have identified six key learning outcomes that should be included in a preparation for practice module in radiology. Future courses targeting these thematic clusters may facilitate a smoother transition from theory to practice for newly graduated doctors.
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Affiliation(s)
| | - David J Ryan
- Department of Radiology, Cork University Hospital, Wilton, Cork, Ireland.
| | - Slavi Stoyanov
- Open University of the Netherlands, 177, Valkenburgerweg, 6401 DL, Heerlen, The Netherlands
| | - Deirdre Bennett
- Medical Education Unit, School of Medicine, University College Cork, Cork, Ireland
| | - Mark McEntee
- Department of Radiography, School of Medicine, University College Cork, Cork, Ireland
| | - Michael M Maher
- Department of Radiology, Cork University Hospital, Wilton, Cork, Ireland
- Department of Radiology, School of Medicine, University College Cork, Cork, Ireland
| | - Colm M P O'Tuathaigh
- Medical Education Unit, School of Medicine, University College Cork, Cork, Ireland
| | - Owen J O'Connor
- Department of Radiology, Cork University Hospital, Wilton, Cork, Ireland
- Department of Radiology, School of Medicine, University College Cork, Cork, Ireland
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27
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Ross AB, Kalia V, Chan BY, Li G. The influence of patient race on the use of diagnostic imaging in United States emergency departments: data from the National Hospital Ambulatory Medical Care survey. BMC Health Serv Res 2020; 20:840. [PMID: 32894129 PMCID: PMC7487740 DOI: 10.1186/s12913-020-05698-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 08/31/2020] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND An established body of literature has shown evidence of implicit bias in the health care system on the basis of patient race and ethnicity that contributes to well documented disparities in outcomes. However, little is known about the influence of patient race and ethnicity on the decision to order diagnostic radiology exams in the acute care setting. This study examines the role of patient race and ethnicity on the likelihood of diagnostic imaging exams being ordered during United States emergency department encounters. METHODS Publicly available data from the National Hospital Ambulatory Medical Care Survey Emergency Department sample for the years 2006-2016 was compiled. The proportion of patient encounters where diagnostic imaging was ordered was tabulated by race/ethnicity, sub-divided by imaging modality. A multivariable logistic regression model was used to evaluate the influence of patient race/ethnicity on the ordering of diagnostic imaging controlling for other patient and hospital characteristics. Survey weighting variables were used to formulate national-level estimates. RESULTS Using the weighted data, an average of 131,558,553 patient encounters were included each year for the 11-year study period. Imaging was used at 46% of all visits although this varied significantly by patient race and ethnicity with white patients receiving medical imaging at 49% of visits and non-white patients at 41% of visits (p < 0.001). This effect persisted in the controlled regression model and across all imaging modalities with the exception of ultrasound. Other factors with a significant influence on imaging use included patient age, gender, insurance status, number of co-morbidities, hospital setting (urban vs non-urban) and hospital region. There was no evidence to suggest that the disparate use of imaging by patient race and ethnicity changed over the 11-year study time period. CONCLUSION The likelihood that a diagnostic imaging exam will be ordered during United States emergency department encounters differs significantly by patient race and ethnicity even when controlling for other patient and hospital characteristics. Further work must be done to understand and mitigate what may represent systematic bias and ensure equitable use of health care resources.
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Affiliation(s)
- Andrew B Ross
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Ave, Madison, WI, 53792, USA.
| | - Vivek Kalia
- Department of Radiology, University of Michigan Health System, 1500 E Medical Center Dr, Ann Arbor, MI, 48109, USA
| | - Brian Y Chan
- Department of Radiology, School of Medicine, University of Utah, 30 N. 1900 E., Salt Lake City, UT, 84132, USA
| | - Geng Li
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin, 600 Highland Ave, Madison, WI, 53792, USA
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28
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Ukwuoma OI, Dingeldein M, Sheele JM, Rotta AT, Apperson-Hansen C, Dingeldein L. The Impact of an Emergency Department Upgrade to Level I Trauma Status on the Timeliness of Nontrauma Computed Tomography Scans. J Emerg Med 2020; 59:315-319. [PMID: 32591300 DOI: 10.1016/j.jemermed.2020.04.057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 04/28/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND Resources such as computed tomography (CT) scanners are sometimes shared when separate adult and pediatric emergency departments (EDs) exist in proximity. OBJECTIVES To assess the impact of American College of Surgeons Level I trauma verification of an adult ED on the timeliness of nontrauma CT scans in a pediatric and adult ED that share a CT scanner. METHODS ED patient records were retrospectively reviewed to determine the time from order to completion of nontrauma CT scans. We compared the timeliness of CT scan completion between the year leading up to the adult ED being verified as a Level I Trauma Center (2015), and the 2 subsequent years (2016-2017). RESULTS The median time for nontrauma CT completion in the adult ED prior to Level I verification was 39 min, compared with 50 min and 49 min for the subsequent 2 years (p < 0.001). Similarly, the median time for completion of nontrauma CT scans in the pediatric ED increased from 33 min to 41 min and 39 min (p < 0.001). The proportion of patients who received CT scans within 30 min from order decreased after adult ED trauma upgrade, from 40% in 2015 to 30% and 32% (p < 0.001) in the 2 subsequent years. The pediatric ED showed similar results, with 48% of patients receiving CT scans within 30 min in 2015, compared with 34% in 2016 and 35% in 2017 (p < 0.001). CONCLUSIONS Level I trauma verification of the adult ED adversely affected the timeliness of nontrauma CT scans in the EDs.
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Affiliation(s)
- Onyinyechi I Ukwuoma
- Division of Pediatric Emergency Medicine, Rainbow Babies & Children's Hospital, Cleveland, Ohio
| | - Michael Dingeldein
- Division of Pediatric Surgery, Rainbow Babies & Children's Hospital, Cleveland, Ohio
| | | | - Alexandre T Rotta
- Division of Pediatric Critical Care Medicine, Duke University Medical Center, Durham, North Carolina
| | | | - Leslie Dingeldein
- Division of Pediatric Emergency Medicine, Rainbow Babies & Children's Hospital, Cleveland, Ohio
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Roth CG, Boroumand G, Dave JK. Shedding the Light on the Off-Hours Problem in Radiology. Am J Med Qual 2020; 35:419-426. [PMID: 32116008 DOI: 10.1177/1062860620907154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Diagnostic error and diagnostic delays in health care are widespread. This article outlines an improvement effort targeting weekday evening inpatient radiology delays through staffing changes replacing trainees with faculty-trainee team coverage, pushing faculty coverage from 4 pm to 8 pm. Order-report turnaround times (TATs), critical findings TATs for pneumothorax and intracranial hemorrhage (ICH), and percentage meeting target were compared pre and post implementation for the 4 to 8 pm time frame using the Mann-Whitney U and χ2 tests, respectively. Stakeholder surveys assessed patient safety, morale, education, and operational efficiency. Median TATs (minutes) improved: X-rays 906 to 112, computed tomography 994 to 84, magnetic resonance imaging 1172 to 233, and ultrasound 88 to 58. Median critical findings TATs (minutes) improved from 853 to 30 and 112 to 22 for pneumothorax and ICH, respectively, and the percentage meeting target improved from 45% to 65%. Survey results reported perceived improvement in patient safety, education, and operational efficiency and no impact on morale.
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Affiliation(s)
| | - Gilda Boroumand
- Thomas Jefferson University, Philadelphia, PA.,Piper Breast Center Institute at Abbott Northwestern Hospital, Consulting Radiologists, Ltd, Minneapolis, MN
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30
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Succi MD, Yun BJ, Rao S, Rao S, Gottumukkala RV, Glover M, White BA, Lev MH, Raja AS, Prabhakar AM. Turning around cancer: Oncology imaging and implications for emergency department radiology workflow. Am J Emerg Med 2020; 38:317-320. [DOI: 10.1016/j.ajem.2019.158435] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 09/05/2019] [Accepted: 09/09/2019] [Indexed: 12/21/2022] Open
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31
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Second physician review of radiographs after wrist and ankle reductions offers limited utility to clinical management. Emerg Radiol 2019; 27:191-193. [PMID: 31834532 DOI: 10.1007/s10140-019-01746-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 12/05/2019] [Indexed: 10/25/2022]
Abstract
PURPOSE The purpose of this study is to determine the clinical utility of second-physician review of radiographs obtained after reduction of distal radius and ankle fractures. METHODS Fifty consecutive ankle and distal radius fractures requiring reduction were reviewed. The time from post-reduction radiograph to second-physician interpretation was obtained. The second-physicians' interpretation was evaluated for clinically influential information. Patients requiring a repeat reduction were identified, and the timing of the repeat reduction radiograph was compared with the timing of the second-physician interpretation of the initial post-reduction radiograph. RESULTS The mean time of second-physician interpretation for post reduction ankle radiographs was 6 h and 47 min (range 4 min to 43 h and 3 min). Eleven of 50 (22%) interpretations of post reduction ankle radiographs commented on acceptability of reduction. The mean time of second-physician interpretation for post reduction distal radius radiographs was 5 h and 34 min (range 8 min to 22 h and 59 min). Seven of 50 (14%) interpretations of post reduction distal radius radiographs commented on acceptability of reduction. Three distal radius (6%) and 8 ankle fractures (16%) required repeat reduction. Repeat reductions were completed in 10/11 cases (91%) before the second-physician review of the initial post reduction radiograph was obtained. In only 1 case of repeat reduction was the second-physician review of the post reduction radiograph available before repeat reduction was attempted. CONCLUSION The timing and quality of second-physician review of post-reduction radiographs offers little utility to the clinical management of ankle and distal radius fractures.
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32
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O'Hagan S, Lombard CJ, Pitcher RD. The Role of the Integrated Digital Radiology System in Assessing the Impact of Patient Load on Emergency Computed Tomography (CT) Efficiency. J Digit Imaging 2019; 32:396-400. [PMID: 30298437 PMCID: PMC6499848 DOI: 10.1007/s10278-018-0129-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022] Open
Abstract
Time-critical management is of particular significance in the trauma and emergency setting, where intervals from patient arrival to diagnostic imaging and from imaging to radiology report are key determinants of outcome. This study, based in the Trauma and Emergency Unit of a large, tertiary-level African hospital with a fully digital radiology department, assessed the impact of increased workload on computerised tomography (CT) efficiency. Sequential, customised searches of the institutional radiology information system (RIS) were conducted to define two weekends in 2016 with the lowest and highest emergency CT workloads, respectively. The electronic RIS timestamps defining the intervals between key steps in the CT workflow were extracted and analysed for each weekend. With the exception of radiologist reporting time, workflow steps were significantly prolonged by increased workload. This study highlights the potential role of the integrated digital radiology system in enabling a detailed analysis of imaging workflow, thereby facilitating the identification and appropriate management of bottlenecks.
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Affiliation(s)
- Suzanne O'Hagan
- Division of Radiodiagnosis, Department of Medical Imaging and Clinical Oncology, Faculty of Medicine and Health Sciences, Stellenbosch University and Tygerberg Hospital, Francie van Zijl Drive, Tygerberg, Cape Town, 7505, South Africa.
| | - Carl J Lombard
- Biostatistics Unit, South African Medical Research Council, Cape Town, South Africa
| | - Richard D Pitcher
- Division of Radiodiagnosis, Department of Medical Imaging and Clinical Oncology, Faculty of Medicine and Health Sciences, Stellenbosch University and Tygerberg Hospital, Francie van Zijl Drive, Tygerberg, Cape Town, 7505, South Africa
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33
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Chong ST, Robinson JD, Davis MA, Bruno MA, Roberge EA, Reddy S, Pyatt RS, Friedberg EB. Emergency Radiology: Current Challenges and Preparing for Continued Growth. J Am Coll Radiol 2019; 16:1447-1455. [PMID: 31092353 DOI: 10.1016/j.jacr.2019.03.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 03/14/2019] [Accepted: 03/20/2019] [Indexed: 10/26/2022]
Abstract
The escalation of imaging volumes in the emergency department and intensifying demands for rapid radiology results have increased the demand for emergency radiology. The provision of emergency radiology is essential for nearly all radiology practices, from the smallest to the largest. As our radiology specialty responds to the challenge posed by the triple threat of providing 24-7 coverage, high imaging volumes, and rapid turnaround time, various questions regarding emergency radiology have emerged, including its definition and scope, unique operational demands, quality and safety concerns, impact on physician well-being, and future directions. This article reviews the current challenges confronting the subspecialty of emergency radiology and offers insights into preparing for continued growth.
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Affiliation(s)
- Suzanne T Chong
- Michigan Medicine, University of Michigan, Taubman Center, Ann Arbor, Michigan.
| | | | - Melissa A Davis
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut
| | - Michael A Bruno
- Department of Radiology, The Penn State Milton S. Hershey Medical Center, Penn State College of Medicine, Hershey, Pennsylvania
| | - Eric A Roberge
- Department of Diagnostic Radiology, Madigan Army Medical Center, Tacoma, Washington
| | - Sravanthi Reddy
- Keck School of Medicine, University of Souther California, Los Angeles, California
| | - Robert S Pyatt
- Department of Radiology, Summit Health, Chambersburg, Pennsylvania
| | - Eric B Friedberg
- Department of Radiology and Imaging Services, Emory University, Johns Creek, Georgia
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34
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Sabath BF, Singh G. Point-of-care ultrasonography as a training milestone for internal medicine residents: the time is now. J Community Hosp Intern Med Perspect 2016; 6:33094. [PMID: 27802866 PMCID: PMC5089158 DOI: 10.3402/jchimp.v6.33094] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Revised: 09/16/2016] [Accepted: 09/20/2016] [Indexed: 12/13/2022] Open
Abstract
Point-of-care (POC) ultrasonography is considered fundamental in emergency medicine training and recently has become a milestone in critical care fellowship programs as well. Currently, there is no such standard requirement for internal medicine residency programs in the United States. We present a new case and briefly review another case at our institution – a community hospital – in which internal medicine house staff trained in ultrasonography were able to uncover unexpected and critical diagnoses that significantly changed patient care and outcomes. We also review the growing evidence of the application of ultrasound in the diagnosis of a myriad of conditions encountered in general internal medicine as well as the mounting data on the ability of internal medicine residents to apply this technology accurately at the bedside. We advocate that the literature has sufficiently established the role of POC ultrasonography in general internal medicine that there should no longer be any delay in giving this an official place in the development of internal medicine trainees. This may be particularly useful in the community hospital setting where 24-h echocardiography or other sonography may not be readily available.
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Affiliation(s)
- Bruce F Sabath
- Department of Medicine, Greater Baltimore Medical Center, Baltimore, MD, USA; @gbmc.org
| | - Gurkeerat Singh
- Department of Medicine, Greater Baltimore Medical Center, Baltimore, MD, USA
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35
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Commentary on Radiology imaging delays as independent predictors of length of hospital stay for emergency medical admissions. Clin Radiol 2016; 71:919-20. [PMID: 27221525 DOI: 10.1016/j.crad.2016.04.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Revised: 04/12/2016] [Accepted: 04/14/2016] [Indexed: 11/22/2022]
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