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Yacoub JH, Weitz DA, Stirrat TP, Fong A, Ratwani RM. Reading Room Interruptions are Less Disruptive When Using Asynchronous Communication Methods. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2024; 37:2038-2046. [PMID: 38504083 PMCID: PMC11522212 DOI: 10.1007/s10278-024-01073-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 02/06/2024] [Accepted: 03/01/2024] [Indexed: 03/21/2024]
Abstract
Radiologist interruptions, though often necessary, can be disruptive. Prior literature has shown interruptions to be frequent, occurring during cases, and predominantly through synchronous communication methods such as phone or in person causing significant disengagement from the study being read. Asynchronous communication methods are now more widely available in hospital systems such as ours. Considering the increasing use of asynchronous communication methods, we conducted an observational study to understand the evolving nature of radiology interruptions. We hypothesize that compared to interruptions occurring through synchronous methods, interruptions via asynchronous methods reduce the disruptive nature of interruptions by occurring between cases, being shorter, and less severe. During standard weekday hours, 30 radiologists (14 attendings, 12 residents, and 4 fellows) were directly observed for approximately 90-min sessions across three different reading rooms (body, neuroradiology, general). The frequency of interruptions was documented including characteristics such as timing, severity, method, and length. Two hundred twenty-five interruptions (43 Teams, 47 phone, 89 in-person, 46 other) occurred, averaging 2 min and 5 s with 5.2 interruptions per hour. Microsoft Teams interruptions averaged 1 min 12 s with only 60.5% during cases. In-person interruptions averaged 2 min 12 s with 82% during cases. Phone interruptions averaged 2 min and 48 s with 97.9% during cases. A substantial portion of reading room interruptions occur via predominantly asynchronous communication tools, a new development compared to prior literature. Interruptions via predominantly asynchronous communications tools are shorter and less likely to occur during cases. In our practice, we are developing tools and mechanisms to promote asynchronous communication to harness these benefits.
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Affiliation(s)
- Joseph H Yacoub
- Department of Radiology, MedStar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington, DC, USA.
| | - Daniel A Weitz
- School of Medicine, Georgetown University, Washington, DC, USA
| | | | - Allan Fong
- MedStar National Center for Human Factors Engineering in Healthcare, MedStar Health Research Institute, Washington, DC, USA
| | - Raj M Ratwani
- MedStar National Center for Human Factors Engineering in Healthcare, MedStar Health Research Institute, Washington, DC, USA
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Al-Katib S, Dearden A, Al-Bassam N, Ghannam J, Beydoun A, Kolderman N, Nandalur R, Nandalur K. Optimizing radiology remote reading: leveraging technology to improve efficiency. Abdom Radiol (NY) 2024:10.1007/s00261-024-04505-3. [PMID: 39276188 DOI: 10.1007/s00261-024-04505-3] [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: 06/09/2024] [Accepted: 07/22/2024] [Indexed: 09/16/2024]
Abstract
Remote work has been increasingly utilized in the profession of radiology over recent years. Setting up your individual workstation offers an opportunity to tailor it to suit your preferences without the restriction of a universal setup to accommodate multiple users. Important considerations when setting up a home workstation include selecting the optimal work location, choosing the proper desk and chair, and configuring an ideal computer monitor layout. The use of peripheral devices, such as programmable mice and hands-free dictation tools can improve efficiency and reduce repetitive strain injuries. This article also explores the use of smart home devices and programmable scripts using AutoHotKey to further streamline workflow and maximize the benefits of a remote workstation.
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Affiliation(s)
- Sayf Al-Katib
- Department of Diagnostic Radiology and Molecular Imaging, Corewell Health East, Royal Oak, MI, USA.
- Oakland University William Beaumont School of Medicine, Rochester, MI, USA.
| | - Andrew Dearden
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Noor Al-Bassam
- Department of Pharmacy, Corewell Health East, Royal Oak, MI, USA
| | - Jacob Ghannam
- Department of Diagnostic Radiology and Molecular Imaging, Corewell Health East, Royal Oak, MI, USA
- Oakland University William Beaumont School of Medicine, Rochester, MI, USA
| | - Ali Beydoun
- Department of Diagnostic Radiology and Molecular Imaging, Corewell Health East, Royal Oak, MI, USA
- Oakland University William Beaumont School of Medicine, Rochester, MI, USA
| | - Nathan Kolderman
- Department of Diagnostic Radiology and Molecular Imaging, Corewell Health East, Royal Oak, MI, USA
- Oakland University William Beaumont School of Medicine, Rochester, MI, USA
| | - Reyna Nandalur
- Department of Diagnostic Radiology and Molecular Imaging, Corewell Health East, Royal Oak, MI, USA
- Oakland University William Beaumont School of Medicine, Rochester, MI, USA
| | - Kiran Nandalur
- Department of Diagnostic Radiology and Molecular Imaging, Corewell Health East, Royal Oak, MI, USA
- Oakland University William Beaumont School of Medicine, Rochester, MI, USA
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Sevenster M, Hergaarden KFM, Hertgers O, Kruithof NHM, Roelofs JJH, Foster-Dingley JC, Romeijn SR, Nguyen DD, Vosbergen S, Lamb HJ. A Novel Radiology Communication Tool to Reduce Workflow Interruptions: Clinical Evaluation of RadConnect. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2024:10.1007/s10278-024-01157-z. [PMID: 38955962 DOI: 10.1007/s10278-024-01157-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 05/24/2024] [Accepted: 05/27/2024] [Indexed: 07/04/2024]
Abstract
Despite the importance of communication, radiology departments often depend on communication tools that were not created for the unique needs of imaging workflows, leading to frequent radiologist interruptions. The objective of this study was test the hypothesis that a novel asynchronous communication tool for the imaging workflow (RadConnect) reduces the daily average number of synchronous (in-person, telephone) communication requests for radiologists. We conducted a before-after study. Before adoption of RadConnect, technologists used three conventional communication methods to consult radiologists (in-person, telephone, general-purpose enterprise chat (GPEC)). After adoption, participants used RadConnect as a fourth method. Technologists manually recorded every radiologist consult request related to neuro and thorax CT scans in the 40 days before and 40 days after RadConnect adoption. Telephone traffic volume to section beepers was obtained from the hospital telephone system for the same period. The value and usability experiences were collected through an electronic survey and structured interviews. RadConnect adoption resulted in 53% reduction of synchronous (in-person, telephone) consult requests: from 6.1 ± 4.2 per day to 2.9 ± 2.9 (P < 0.001). There was 77% decrease (P < 0.001) in telephone volume to the neuro and thorax beepers, while no significant volume change was noted to the abdomen beeper (control group). Survey responses (46% response rate) and interviews confirmed the positive impact of RadConnect on interruptions. RadConnect significantly reduced radiologists' telephone interruptions. Study participants valued the role-based interaction and prioritized worklist overview in the survey and interviews. Findings from this study will contribute to a more focused work environment.
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Affiliation(s)
- Merlijn Sevenster
- Royal Philips Electronics, High Tech Campus 34, 5656AE, Eindhoven, The Netherlands.
- Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands.
| | | | - Omar Hertgers
- Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands
| | - Natalie H M Kruithof
- Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands
| | - Joost J H Roelofs
- Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands
| | | | - Stephan R Romeijn
- Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands
| | - Duy Duc Nguyen
- Royal Philips Electronics, High Tech Campus 34, 5656AE, Eindhoven, The Netherlands
| | - Sandra Vosbergen
- Royal Philips Electronics, High Tech Campus 34, 5656AE, Eindhoven, The Netherlands
| | - Hildo J Lamb
- Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands
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Hagedorn J, Rao K, Belt M, Policeni B. Quantifying Interruptions for On-Call Radiology Residents, and Resident Perception of Reading Room Coordinators. J Am Coll Radiol 2024; 21:1104-1107. [PMID: 38369047 DOI: 10.1016/j.jacr.2024.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 01/12/2024] [Accepted: 02/03/2024] [Indexed: 02/20/2024]
Affiliation(s)
- Joshua Hagedorn
- Department of Radiology, University of Iowa, Iowa City, Iowa; Carver College of Medicine, University of Iowa, Iowa City, Iowa
| | - Karan Rao
- Department of Radiology, University of Iowa, Iowa City, Iowa
| | - Monica Belt
- Department of Radiology, University of Iowa, Iowa City, Iowa
| | - Bruno Policeni
- Clinical Professor, Director of Neuroradiology Fellowship, Vice-Chair for Operations and Education, Department of Radiology, University of Iowa, Iowa City, Iowa.
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Cambronero-Delgadillo AJ, Nachtnebel SJ, Körner C, Gilchrist ID, Höfler M. Interruption in visual search: a systematic review. Front Psychol 2024; 15:1384441. [PMID: 38807959 PMCID: PMC11130479 DOI: 10.3389/fpsyg.2024.1384441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 04/24/2024] [Indexed: 05/30/2024] Open
Abstract
Visual search, the process of trying to find a target presented among distractors, is a much-studied cognitive task. Less well-studied is the condition in which the search task is interrupted before the target is found. The consequences of such interruptions in visual search have been investigated across various disciplines, which has resulted in diverse and at times contradictory findings. The aim of this systematic review is to provide a more cohesive understanding of the effects of interruptions in visual search. For this purpose, we identified 28 studies that met our inclusion criteria. To facilitate a more organized and comprehensive analysis, we grouped the studies based on three dimensions: the search environment, the interruption aftermath, and the type of the interrupting event. While interruptions in visual search are variable and manifest differently across studies, our review provides a foundational scheme for a more cohesive understanding of the subject. This categorization serves as a starting point for exploring potential future directions, which we delineate in our conclusions.
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Affiliation(s)
| | | | | | - Iain D. Gilchrist
- School of Psychological Science, University of Bristol, Bristol, United Kingdom
| | - Margit Höfler
- Department of Psychology, University of Graz, Graz, Austria
- Department of Dementia Research and Nursing Science, University for Continuing Education Krems, Krems an der Donau, Austria
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Sevenster M, Hergaarden K, Hertgers O, Nguyen D, Wijn V, Vlachomitrou AS, Vosbergen S, Lamb HJ. Design and Perceived Value of a Novel Solution for Asynchronous Communication in Radiology. Curr Probl Diagn Radiol 2024; 53:96-101. [PMID: 37914652 DOI: 10.1067/j.cpradiol.2023.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 10/17/2023] [Accepted: 10/18/2023] [Indexed: 11/03/2023]
Abstract
RATIONALE AND OBJECTIVES Communication with and within the Radiology Department is typically initiated over phone, face-to-face or general-purpose chat, causing frequent interruptions, additional mental workload, workflow inefficiencies and diagnostic errors. We developed and evaluated a new communication solution that aims to reduce avoidable interruptions caused by technologist-radiologist communication. MATERIALS AND METHODS Following an iterative design process with future end users, a scalable web-based software solution, RadConnect, was developed enabling a chat-based communication workflow between a technologist and a radiologist. As a first experimental implementation, technologists can send categorized tickets to a radiology section account. Radiologists receive the tickets in a worklist that is prioritized by urgency. Consented radiologists and technologists performed scripted tasks in 2 hr sessions and completed a structured questionnaire on perceived value and comparison to standard communication modes. RESULTS Of 17 participants from three academic European institutes, 65% (11/17) believed they would use RadConnect frequently; 53% (9/17) believed that it reduces phone calls >80%; and 88% (15/17) believed it adds value compared to general-purpose enterprise chat applications. DISCUSSION Participants recognized the value of RadConnect especially its categorized tickets, prioritized worklist and role-based interaction model. Inter-institute differences in perceived value of RadConnect may have been caused by technologist-radiologist proximity and communication alternatives in the institutions. CONCLUSION Chat-based role-based communication might be a viable mode of communication between technologists and radiologists to reduce avoidable interruptions. Tailoring the chat solution to the needs of and tightly integrated with the radiology workflow is valued by future end users after exposure to the tool in a simulated environment.
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Affiliation(s)
- Merlijn Sevenster
- Royal Philips Electronics, High Tech Campus 34, 5656AA Eindhoven, the Netherlands; Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, the Netherlands.
| | - Kenneth Hergaarden
- Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, the Netherlands
| | - Omar Hertgers
- Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, the Netherlands
| | - Duc Nguyen
- Royal Philips Electronics, High Tech Campus 34, 5656AA Eindhoven, the Netherlands
| | - Victor Wijn
- Royal Philips Electronics, High Tech Campus 34, 5656AA Eindhoven, the Netherlands
| | - Anna S Vlachomitrou
- Royal Philips Electronics, High Tech Campus 34, 5656AA Eindhoven, the Netherlands
| | - Sandra Vosbergen
- Royal Philips Electronics, High Tech Campus 34, 5656AA Eindhoven, the Netherlands
| | - Hildo J Lamb
- Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, the Netherlands
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Gillingham N, Gupta D, Kamath A, Kagen A. Implementation of Medical Students as Radiology Reading Room Coordinators. Curr Probl Diagn Radiol 2024; 53:150-153. [PMID: 37925236 DOI: 10.1067/j.cpradiol.2023.10.014] [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: 09/20/2023] [Accepted: 10/18/2023] [Indexed: 11/06/2023]
Abstract
OBJECTIVE Effort has been made to minimize the burden of non-interpretive tasks (NITs), in particular by hiring and training non-radiologist support staff as reading room coordinators (RRCs). Our medical center recruited and trained senior medical students from our affiliated school of medicine to work alongside on-call radiology residents as RRCs. METHODS A 12-month Malpractice Carrier monetary grant was acquired to fund medical students at with the aim to reduce malpractice risk. After the first year, residents were surveyed regarding the impact of the RRCs on perceived on-call efficiency and morale. Furthermore, report turnaround times (TAT) on call shifts that were and were not accompanied by a RRC were compared. RESULTS 89 % of residents strongly agreed that the RRC improved workflow efficiency, decreased distractions, and felt less stressed during the call shift when the RRC was on duty. 78 % strongly agreed to be more likely to contact a referring clinician when the RRC was able to help coordinate. The mean TAT in the presence of a RRC was 36.8 min, and the mean TAT in the absence of a RRC was 36.9 min DISCUSSION: After hiring medical students to assist on-call radiology residents with noninterpretive tasks, residents reported subjective indicators of program success, but average report turnaround time was unaffected. Nevertheless, we predict that this type of program will continue to grow among academic radiology departments, though additional research is required to evaluate national trends and impacts on radiologist productivity and well-being.
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Affiliation(s)
- Nicolas Gillingham
- Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai West. 1000 10th Ave, Radiology Department, 4B 25, New York, NY 10019, USA.
| | - Divya Gupta
- Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai West. 1000 10th Ave, Radiology Department, 4B 25, New York, NY 10019, USA
| | - Amita Kamath
- Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai Hospital and Mount Sinai West. 1000 10th Ave, Radiology Department, 4B 25, New York, NY 10019, USA
| | - Alexander Kagen
- Site Chair, Department of Diagnostic, Molecular, and Interventional Radiology, Mount Sinai West and Mount Sinai St. Luke's Hospitals, Icahn School of Medicine at Mount Sinai. 1000 10th Ave, Radiology Department, 4B 25, New York, NY 10019, USA
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Bernstein MH, Atalay MK, Dibble EH, Maxwell AWP, Karam AR, Agarwal S, Ward RC, Healey TT, Baird GL. Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography. Eur Radiol 2023; 33:8263-8269. [PMID: 37266657 PMCID: PMC10235827 DOI: 10.1007/s00330-023-09747-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 04/16/2023] [Accepted: 04/18/2023] [Indexed: 06/03/2023]
Abstract
OBJECTIVE To examine whether incorrect AI results impact radiologist performance, and if so, whether human factors can be optimized to reduce error. METHODS Multi-reader design, 6 radiologists interpreted 90 identical chest radiographs (follow-up CT needed: yes/no) on four occasions (09/20-01/22). No AI result was provided for session 1. Sham AI results were provided for sessions 2-4, and AI for 12 cases were manipulated to be incorrect (8 false positives (FP), 4 false negatives (FN)) (0.87 ROC-AUC). In the Delete AI (No Box) condition, radiologists were told AI results would not be saved for the evaluation. In Keep AI (No Box) and Keep AI (Box), radiologists were told results would be saved. In Keep AI (Box), the ostensible AI program visually outlined the region of suspicion. AI results were constant between conditions. RESULTS Relative to the No AI condition (FN = 2.7%, FP = 51.4%), FN and FPs were higher in the Keep AI (No Box) (FN = 33.0%, FP = 86.0%), Delete AI (No Box) (FN = 26.7%, FP = 80.5%), and Keep AI (Box) (FN = to 20.7%, FP = 80.5%) conditions (all ps < 0.05). FNs were higher in the Keep AI (No Box) condition (33.0%) than in the Keep AI (Box) condition (20.7%) (p = 0.04). FPs were higher in the Keep AI (No Box) (86.0%) condition than in the Delete AI (No Box) condition (80.5%) (p = 0.03). CONCLUSION Incorrect AI causes radiologists to make incorrect follow-up decisions when they were correct without AI. This effect is mitigated when radiologists believe AI will be deleted from the patient's file or a box is provided around the region of interest. CLINICAL RELEVANCE STATEMENT When AI is wrong, radiologists make more errors than they would have without AI. Based on human factors psychology, our manuscript provides evidence for two AI implementation strategies that reduce the deleterious effects of incorrect AI. KEY POINTS • When AI provided incorrect results, false negative and false positive rates among the radiologists increased. • False positives decreased when AI results were deleted, versus kept, in the patient's record. • False negatives and false positives decreased when AI visually outlined the region of suspicion.
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Affiliation(s)
- Michael H Bernstein
- Department of Diagnostic Imaging, Warren Alpert Medical School of Brown University, Providence, RI, USA.
- Rhode Island Hospital, Providence, RI, USA.
- Brown Radiology Human Factors Laboratory, Providence, RI, USA.
| | - Michael K Atalay
- Department of Diagnostic Imaging, Warren Alpert Medical School of Brown University, Providence, RI, USA
- Brown Radiology Human Factors Laboratory, Providence, RI, USA
| | - Elizabeth H Dibble
- Department of Diagnostic Imaging, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Aaron W P Maxwell
- Department of Diagnostic Imaging, Warren Alpert Medical School of Brown University, Providence, RI, USA
- Brown Radiology Human Factors Laboratory, Providence, RI, USA
| | - Adib R Karam
- Department of Diagnostic Imaging, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Saurabh Agarwal
- Department of Diagnostic Imaging, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Robert C Ward
- Department of Diagnostic Imaging, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Terrance T Healey
- Department of Diagnostic Imaging, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Grayson L Baird
- Department of Diagnostic Imaging, Warren Alpert Medical School of Brown University, Providence, RI, USA
- Rhode Island Hospital, Providence, RI, USA
- Brown Radiology Human Factors Laboratory, Providence, RI, USA
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Yacoub JH, Bourne MD, Krishnan P. The Virtual Radiology Reading Room: Initial Perceptions of Referring Providers and Radiologists. J Digit Imaging 2023; 36:787-793. [PMID: 36698036 PMCID: PMC9876648 DOI: 10.1007/s10278-022-00745-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 11/02/2022] [Accepted: 11/22/2022] [Indexed: 01/26/2023] Open
Abstract
The objective of this study is to assess the initial perception of referring providers and radiologists to a virtual consultation solution (the Virtual Radiology Reading Room, VR3). VR3 is specifically designed to replace the radiology reading room phone and enable the radiologist to continue to work as part of the clinical care team fielding radiology consults without being confined to the same physical space. Surveys of providers' and radiologists' initial experience were conducted approximately 6 months after initial deployment. Users were asked about their overall impression, and how well the solution integrates with their workflow as well as how it compares to traditional phone calls to the reading room. Forty of 71 referring providers and 27 of 44 radiologists responded to our survey. VR3 was rated 4.7 out of 5 stars by referrers and 4.1 by radiologists. Seventy percent of referrers and radiologists preferred VR3 to the phone while 4.5% of referrers and 11% of radiologists preferred the phone. Referring providers and radiologists expressed a positive initial perception of the Virtual Radiology Reading Room and prefer it to traditional phone calls to the reading room.
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Affiliation(s)
- Joseph H Yacoub
- Department of Radiology, Medstar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington, DC, USA.
| | - Matthew D Bourne
- Department of Radiology, Medstar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington, DC, USA
| | - Pranay Krishnan
- Department of Radiology, Medstar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington, DC, USA
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Gabelloni M, Faggioni L, Fusco R, De Muzio F, Danti G, Grassi F, Grassi R, Palumbo P, Bruno F, Borgheresi A, Bruno A, Catalano O, Gandolfo N, Giovagnoni A, Miele V, Barile A, Granata V. Exploring Radiologists' Burnout in the COVID-19 Era: A Narrative Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3350. [PMID: 36834044 PMCID: PMC9966123 DOI: 10.3390/ijerph20043350] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 02/03/2023] [Accepted: 02/12/2023] [Indexed: 06/18/2023]
Abstract
Since its beginning in March 2020, the COVID-19 pandemic has claimed an exceptionally high number of victims and brought significant disruption to the personal and professional lives of millions of people worldwide. Among medical specialists, radiologists have found themselves at the forefront of the crisis due to the pivotal role of imaging in the diagnostic and interventional management of COVID-19 pneumonia and its complications. Because of the disruptive changes related to the COVID-19 outbreak, a proportion of radiologists have faced burnout to several degrees, resulting in detrimental effects on their working activities and overall wellbeing. This paper aims to provide an overview of the literature exploring the issue of radiologists' burnout in the COVID-19 era.
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Affiliation(s)
- Michela Gabelloni
- Nuclear Medicine Unit, Department of Translational Research, University of Pisa, 56126 Pisa, Italy
| | - Lorenzo Faggioni
- Academic Radiology, Department of Translational Research, University of Pisa, 56126 Pisa, Italy
| | - Roberta Fusco
- Medical Oncology Division, Igea SpA, 80013 Naples, Italy
| | - Federica De Muzio
- Department of Medicine and Health Sciences V. Tiberio, University of Molise, 86100 Campobasso, Italy
| | - Ginevra Danti
- Department of Emergency Radiology, Careggi University Hospital, 50134 Florence, Italy
- Italian Society of Medical and Interventional Radiology, SIRM Foundation, 20122 Milan, Italy
| | - Francesca Grassi
- Department of Precision Medicine, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Roberta Grassi
- Department of Precision Medicine, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Pierpaolo Palumbo
- Area of Cardiovascular and Interventional Imaging, Abruzzo Health Unit 1, Department of Diagnostic Imaging, 67100 L’Aquila, Italy
| | - Federico Bruno
- Area of Cardiovascular and Interventional Imaging, Abruzzo Health Unit 1, Department of Diagnostic Imaging, 67100 L’Aquila, Italy
| | - Alessandra Borgheresi
- Department of Radiology, University Hospital “Azienda Ospedaliera Universitaria delle Marche”, 60126 Ancona, Italy
- Department of Clinical, Special and Dental Sciences, Università Politecnica delle Marche, 60126 Ancona, Italy
| | - Alessandra Bruno
- Department of Radiology, University Hospital “Azienda Ospedaliera Universitaria delle Marche”, 60126 Ancona, Italy
- Department of Clinical, Special and Dental Sciences, Università Politecnica delle Marche, 60126 Ancona, Italy
| | - Orlando Catalano
- Department of Radiology, Istituto Diagnostico Varelli, 80126 Naples, Italy
| | - Nicoletta Gandolfo
- Diagnostic Imaging Department, Villa Scassi Hospital-ASL 3, 16149 Genoa, Italy
| | - Andrea Giovagnoni
- Department of Radiology, University Hospital “Azienda Ospedaliera Universitaria delle Marche”, 60126 Ancona, Italy
- Department of Clinical, Special and Dental Sciences, Università Politecnica delle Marche, 60126 Ancona, Italy
| | - Vittorio Miele
- Department of Emergency Radiology, Careggi University Hospital, 50134 Florence, Italy
- Italian Society of Medical and Interventional Radiology, SIRM Foundation, 20122 Milan, Italy
| | - Antonio Barile
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy
| | - Vincenza Granata
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
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Radović T, Rieger T, Manzey D. A global and local perspective of interruption frequency in a visual search task. Front Psychol 2022; 13:951048. [PMID: 36186383 PMCID: PMC9524370 DOI: 10.3389/fpsyg.2022.951048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 08/02/2022] [Indexed: 11/13/2022] Open
Abstract
We investigated the impact of frequency of interruptions in a simulated medical visual search task. Participants (N = 150) performed the visual search task during which they were interrupted by a number-classification task in 25, 50, or 75% of all trials, respectively, reflecting the frequency conditions (i.e., low, mid, high). Target presence (i.e., present vs. absent) and interruption (i.e., uninterrupted vs. interrupted) were varied within-subjects, and interruption frequency was varied between-subjects. Globally, on a frequency condition level, participants in the low frequency condition had longer mean response times (RT) for the primary visual search task than in the high condition, but there were no other performance differences between the three frequency conditions. Locally, on the level of specific interruption effects, accuracy decreased directly after interruptions for target present but not for target absent trials. Furthermore, interruptions caused significant interruption costs, reflected in slower overall RTs in interrupted than in uninterrupted trials. The combined findings show that especially for critical visual search tasks as in the medical field, interruptions—regardless of frequency—should be avoided.
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Shah SH, Atweh LA, Thompson CA, Carzoo S, Krishnamurthy R, Zumberge NA. Workflow Interruptions and Effect on Study Interpretation Efficiency. Curr Probl Diagn Radiol 2022; 51:848-851. [PMID: 35870962 DOI: 10.1067/j.cpradiol.2022.06.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 06/09/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Interruptions have been shown to adversely impact efficiency, accuracy, and patient safety. OBJECTIVE To analyze the frequency and types of interruptions and effect on report interpretation efficiency. MATERIALS AND METHODS A business process improvement team was consulted to make detailed recordings of the activities of the radiologists. Activities were categorized as interpreting studies, active interruptions initiated by the radiologist, and passive interruptions initiated by an external source. RESULTS Thirteen board-certified, pediatric radiologists were observed for 61 hours. Radiologists spent 52% of their time interpreting studies, 29% on active interruptions, and 18% on passive interruptions. Approximately 50% of non-interpretive time involved in-person conversations or consults and 16% involved phone calls of which 67% were incoming. The longest time period without an interruption was 20 minutes. 85% of the time, an interruption came within 3 minutes of beginning an interpretation and lasted 1 minute or less 70% of the time. Interruptions increased the time a radiologist needed to read a study by 1 minute for radiographs, 2 minutes for ultrasounds, 6 minutes for CTs, and 10 minutes for magnetic resonance imaging. CONCLUSION Total interruption time nearly equaled the total time interpreting studies for radiologists, and interruptions decreased efficiency and increased report interpretation times for all modalities studied. This study highlights the type and extent of interruptions in radiology and examines the effect on report interpretation times. With the frequency of interruptions and impact on efficiency, there is a need to dedicate resources to manage the radiologist workflow. Strategic interventions may ultimately improve outcomes, efficiency, and the overall work environment.
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13
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Higgins MC, Siddiqui AA, Kosowsky T, Unan L, Mete M, Rowe S, Marchalik D. Burnout, Professional Fulfillment, Intention to Leave, and Sleep-Related Impairment among Radiology Trainees across the United States (US): A Multisite Epidemiologic Study. Acad Radiol 2022; 29 Suppl 5:S118-S125. [PMID: 35241358 DOI: 10.1016/j.acra.2022.01.022] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Revised: 01/28/2022] [Accepted: 01/31/2022] [Indexed: 12/25/2022]
Abstract
OBJECTIVE To examine the prevalence of burnout among radiology trainees in the United States, and to study the relationships between burnout and professional fulfillment (PF), intent-to-leave (ITL), sleep-related impairment and self-compassion by gender. METHODS This cross-sectional study was conducted via an anonymous electronic survey sent to 11 large academic medical centers (Physician Wellness Academic Consortium) between January 2017 and September 2018. The survey included the Professional Fulfillment Index (PFI) and an abbreviated form of the PROMIS Sleep-related impairment (SRI) scale. Two-sample t-tests and chi-square exact tests were used for analysis (p < 0.05). RESULTS Two hundred forty-seven radiology residents responded to the survey. Out of these, 36.2% reported burnout, 37.4% endorsed PF, 64.8% reported sleep-related impairment, 7.6% expressed ITL. There were no significant differences between genders. Burnout was associated with reduced PF, increased sleep-impairment (p < 0.001 for both) and increased ITL (p = 0.02). Lower PF, peer support, perceived appreciation for and meaningfulness in work, alignment of organizational and personal values, self-compassion, and higher sleep impairment were associated with burnout (p < 0.001 for all). Burnout was associated with perceptions of less support from department leaders (p = 0.003), control over schedules (p = 0.001) and helpfulness of electronic health record systems (p = 0.01). ITL was associated with reduced PF, perceived work appreciation, and leadership support (p = 0.03, p = 0.04, and p = 0.007, respectively). DISCUSSION Burnout is prevalent among radiology residents. Many demonstrate sleep-impairment and reduced professional fulfillment, with a lesser fraction desiring to leave their institution. Key factors to burnout included peer and organizational support, electronic health record systems helpfulness, and personal factors like self-compassion and work appreciation.
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14
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Raghu P, Bhargava P. Self-Optimization in the Read Room: From Weariness to Wellness. Curr Probl Diagn Radiol 2022; 51:411-412. [DOI: 10.1067/j.cpradiol.2022.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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15
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Treviño M, Birdsong G, Carrigan A, Choyke P, Drew T, Eckstein M, Fernandez A, Gallas BD, Giger M, Hewitt SM, Horowitz TS, Jiang YV, Kudrick B, Martinez-Conde S, Mitroff S, Nebeling L, Saltz J, Samuelson F, Seltzer SE, Shabestari B, Shankar L, Siegel E, Tilkin M, Trueblood JS, Van Dyke AL, Venkatesan AM, Whitney D, Wolfe JM. Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration. JNCI Cancer Spectr 2022; 6:pkab099. [PMID: 35699495 PMCID: PMC8826981 DOI: 10.1093/jncics/pkab099] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 10/20/2021] [Accepted: 11/11/2021] [Indexed: 10/27/2024] Open
Abstract
Medical image interpretation is central to detecting, diagnosing, and staging cancer and many other disorders. At a time when medical imaging is being transformed by digital technologies and artificial intelligence, understanding the basic perceptual and cognitive processes underlying medical image interpretation is vital for increasing diagnosticians' accuracy and performance, improving patient outcomes, and reducing diagnostician burnout. Medical image perception remains substantially understudied. In September 2019, the National Cancer Institute convened a multidisciplinary panel of radiologists and pathologists together with researchers working in medical image perception and adjacent fields of cognition and perception for the "Cognition and Medical Image Perception Think Tank." The Think Tank's key objectives were to identify critical unsolved problems related to visual perception in pathology and radiology from the perspective of diagnosticians, discuss how these clinically relevant questions could be addressed through cognitive and perception research, identify barriers and solutions for transdisciplinary collaborations, define ways to elevate the profile of cognition and perception research within the medical image community, determine the greatest needs to advance medical image perception, and outline future goals and strategies to evaluate progress. The Think Tank emphasized diagnosticians' perspectives as the crucial starting point for medical image perception research, with diagnosticians describing their interpretation process and identifying perceptual and cognitive problems that arise. This article reports the deliberations of the Think Tank participants to address these objectives and highlight opportunities to expand research on medical image perception.
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Affiliation(s)
- Melissa Treviño
- Behavioral Research Program, National Cancer Institute, Rockville, MD, USA
- Clinical Research in Complementary and Integrative Health Branch, National Center for Complementary and Integrative Health, Rockville, MD, USA
| | - George Birdsong
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Ann Carrigan
- Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia
| | - Peter Choyke
- Molecular Imaging Program, National Cancer Institute, Bethesda, MD, USA
| | - Trafton Drew
- Department of Psychology, University of Utah, Salt Lake City, UT, USA
| | - Miguel Eckstein
- Department of Psychological & Brain Science, University of California, Santa Barbara, CA, USA
| | - Anna Fernandez
- Surveillance Research Program, National Cancer Institute, Rockville, MD, USA
- Booz Allen Hamilton, McLean, VA, USA
| | - Brandon D Gallas
- Division of Imaging Diagnostics, and Software Reliability, US Food and Drug Administration, Silver Spring, MD, USA
| | - Maryellen Giger
- Department of Radiology, University of Chicago, Chicago, IL, USA
| | - Stephen M Hewitt
- Laboratory of Pathology, National Cancer Institute, Bethesda, MD, USA
| | - Todd S Horowitz
- Behavioral Research Program, National Cancer Institute, Rockville, MD, USA
| | - Yuhong V Jiang
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Bonnie Kudrick
- Transportation Security Administration, Springfield, VA, USA
| | - Susana Martinez-Conde
- Department of Ophthalmology, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Stephen Mitroff
- Department of Psychology, The George Washington University, Washington, DC, USA
| | - Linda Nebeling
- Behavioral Research Program, National Cancer Institute, Rockville, MD, USA
| | - Joseph Saltz
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA
| | - Frank Samuelson
- Division of Imaging Diagnostics, and Software Reliability, US Food and Drug Administration, Silver Spring, MD, USA
| | - Steven E Seltzer
- Department of Radiology, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Behrouz Shabestari
- Division of Health Informatics Technologies, National Institute of Biomedical Imaging and Bioengineering, Rockville, MD, USA
| | - Lalitha Shankar
- Cancer Imaging Program, National Cancer Institute, Rockville, MD, USA
| | - Eliot Siegel
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Mike Tilkin
- American College of Radiology, Reston, VA, USA
| | | | - Alison L Van Dyke
- Surveillance Research Program, National Cancer Institute, Rockville, MD, USA
| | - Aradhana M Venkatesan
- Department of Abdominal Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David Whitney
- Department of Psychology, University of California, Berkeley, CA, USA
| | - Jeremy M Wolfe
- Department of Radiology, Harvard Medical School, Boston, MA, USA
- Department of Surgery, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
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16
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Kellogg KM, Puthumana JS, Fong A, Adams KT, Ratwani RM. Understanding the Types and Effects of Clinical Interruptions and Distractions Recorded in a Multihospital Patient Safety Reporting System. J Patient Saf 2021; 17:e1394-e1400. [PMID: 29994817 DOI: 10.1097/pts.0000000000000513] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Interruptions and distractions have been shown to be a frequent occurrence across health care and have been linked to negative outcomes that create potential patient safety risks. Although observational studies have catalogued interruption frequency and source, the impact of an interruption is difficult to observe. We analyzed patient safety event (PSE) reports related to interruptions to identify clinical processes reported to be frequently interrupted and the reported outcomes of those interruptions. METHODS We retrospectively analyzed PSE reports entered by frontline staff between January 2013 and January 2016. Of 79,428 total PSEs entered, 220 reports were identified using keyword matching and subsequent manual review as being directly related to a clinical interruption. Categories were developed to identify the cause of the interruption, task being interrupted, and the result of the interruption. Percentages were calculated. RESULTS Nurses were most often reported to be interrupted in the PSEs (50%). General distractions (43.2%) or high workload (18.6%) were most commonly noted to interrupt the individual's work. The interrupted activity was most often a medication task (50.9%), frequently in the administration phase (24.1%), or the ordering phase (16.8%). The most common medication error was wrong dose administration (14.4% of total medication-related errors). Laboratory processes were reported to be disturbed by interruptions in 22.7% of reports, and this frequently resulted in mislabeling of specimens (75% of laboratory-related errors). CONCLUSIONS This retrospective review of PSE reports involving interruptions of clinical activities reveals that interruptions affect a variety of aspects of patient care and can help to guide future work on interruption management.
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Affiliation(s)
| | - Joseph S Puthumana
- From the National Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health
| | - Allan Fong
- From the National Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health
| | - Katharine T Adams
- From the National Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health
| | - Raj M Ratwani
- From the National Center for Human Factors in Healthcare, MedStar Institute for Innovation, MedStar Health
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17
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Spieler B, Baum N. Burnout: A Mindful Framework for the Radiologist. Curr Probl Diagn Radiol 2021; 51:155-161. [PMID: 34876307 DOI: 10.1067/j.cpradiol.2021.08.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Revised: 08/11/2021] [Accepted: 08/25/2021] [Indexed: 12/11/2022]
Abstract
Burnout, the outcome of prolonged stress or frustration, manifests as both mental and physical fatigue affecting over half of healthcare workers. This article will discuss the etiologies, problems, and potential solutions to burnout related issues that are impacting radiologists. Factors placing radiologists at risk for burnout as well the impact of burnout upon the radiologist, the department, staff, and patients they serve will also be discussed. An emphasis will also be placed upon recognition, solutions, and a collective response to burnout. Readers should be able to perform a self-assessment of their own risk for burnout and understand what can be done to dissolve and prevent burnout amongst their colleagues. In doing so, our hope is that radiologists will develop greater insight, awareness, and ultimately empathy for the unique challenges that others in the radiology community may face.
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Affiliation(s)
- Bradley Spieler
- Department of Diagnostic Radiology, Louisiana State University Health Sciences Center, New Orleans, LA.
| | - Neil Baum
- Department of Urology, Tulane University School of Medicine, New Orleans, LA
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18
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Watura C, Kendall C, Sookur P. Direct Access and Skill Mix Can Reduce Telephone Interruptions and Imaging Wait Times: Improving Radiology Service Effectiveness, Safety and Sustainability. Curr Probl Diagn Radiol 2021; 51:6-11. [PMID: 34284928 DOI: 10.1067/j.cpradiol.2021.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 05/23/2021] [Accepted: 06/11/2021] [Indexed: 11/22/2022]
Abstract
Unnecessary telephone calls to reporting radiologists impede organizations' workflow and may be associated with a higher chance of errors in reports. We conducted a prospective study in two cycles, which identified vetting plain CT heads as the most common reason for these calls and vetting CT urinary tracts (KUB) was also frequent. Clear vetting and protocolling guidelines exist for both of these scans, which do not routinely require discussion with a radiologist. Therefore, our approach was to create new flow diagrams to allow radiographers to directly accept routine requests for plain CT head and CT KUB scans in- and out-of-hours. After this intervention, incoming calls to radiology for vetting CT heads decreased by 30% and for vetting CT KUBs by 100%. The average wait time between CT head request and scan completion was reduced by 40%. The number of CT head and CT KUB scans performed remained stable. In future, maximizing the benefit of direct access in-patient imaging pathways will rely on effective and sustained communication of the protocols to the junior clinical staff rotating through the organization, as they were responsible for requesting the vast majority of tests.
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Affiliation(s)
- Christopher Watura
- Chelsea and Westminster Hospital NHS Foundation Trust, Imaging Department, Chelsea and Westminster Hospital, Chelsea, London.
| | - Charlotte Kendall
- Chelsea and Westminster Hospital NHS Foundation Trust, Imaging Department, Chelsea and Westminster Hospital, Chelsea, London
| | - Paul Sookur
- Chelsea and Westminster Hospital NHS Foundation Trust, Imaging Department, Chelsea and Westminster Hospital, Chelsea, London
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19
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Smith EA, Schapiro AH, Smith R, O'Brien SE, Smith SN, Eckerle AL, Towbin AJ. Increasing Median Time between Interruptions in a Busy Reading Room. Radiographics 2021; 41:E47-E56. [PMID: 33646899 DOI: 10.1148/rg.2021200094] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Ethan A Smith
- From the Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 5031, Cincinnati, OH 45229-3026 (E.A.S., A.H.S., R.S., S.E.O., S.N.S., A.L.E., A.J.T.); and Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (E.A.S., A.H.S., A.J.T.)
| | - Andrew H Schapiro
- From the Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 5031, Cincinnati, OH 45229-3026 (E.A.S., A.H.S., R.S., S.E.O., S.N.S., A.L.E., A.J.T.); and Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (E.A.S., A.H.S., A.J.T.)
| | - Rachel Smith
- From the Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 5031, Cincinnati, OH 45229-3026 (E.A.S., A.H.S., R.S., S.E.O., S.N.S., A.L.E., A.J.T.); and Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (E.A.S., A.H.S., A.J.T.)
| | - Sarah E O'Brien
- From the Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 5031, Cincinnati, OH 45229-3026 (E.A.S., A.H.S., R.S., S.E.O., S.N.S., A.L.E., A.J.T.); and Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (E.A.S., A.H.S., A.J.T.)
| | - Sara N Smith
- From the Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 5031, Cincinnati, OH 45229-3026 (E.A.S., A.H.S., R.S., S.E.O., S.N.S., A.L.E., A.J.T.); and Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (E.A.S., A.H.S., A.J.T.)
| | - Amy L Eckerle
- From the Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 5031, Cincinnati, OH 45229-3026 (E.A.S., A.H.S., R.S., S.E.O., S.N.S., A.L.E., A.J.T.); and Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (E.A.S., A.H.S., A.J.T.)
| | - Alexander J Towbin
- From the Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 5031, Cincinnati, OH 45229-3026 (E.A.S., A.H.S., R.S., S.E.O., S.N.S., A.L.E., A.J.T.); and Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (E.A.S., A.H.S., A.J.T.)
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20
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Larsen EP, Hailu T, Sheldon L, Ginader A, Bodo N, Dewane D, Degnan AJ, Finley J, Sze RW. Optimizing Radiology Reading Room Design: The Eudaimonia Radiology Machine. J Am Coll Radiol 2021; 18:108-120. [PMID: 33065075 PMCID: PMC7553105 DOI: 10.1016/j.jacr.2020.09.041] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 09/09/2020] [Accepted: 09/10/2020] [Indexed: 11/25/2022]
Abstract
Physical and mental stressors on radiologists can result in burnout. Although current efforts seek to target the issues of burnout and stress for radiologists, the impact of their physical workspace is often overlooked. By combining evidence-based design, human factors, and the architectural concept of the Eudaimonia Machine, we have developed a redesign of the radiology reading room that aims to create an optimal workspace for the radiologist. Informed by classical principles of well-being and contemporary work theory, Eudaimonia integrates concerns for individual wellness and efficiency to create an environment that fosters productivity. This layout arranges a work environment into purposeful spaces, each hosting tasks of varying degrees of intensity. The improved design addresses the radiologist's work requirements while also alleviating cognitive and physical stress, fatigue, and burnout. This new layout organizes the reading room into separate areas, each with a distinct purpose intended to support the range of radiologists' work, from consultation with other health care providers to reading images without interruption. The scientific principles that undergird evidence-based design and human factors considerations ensure that the Eudaimonia Radiology Machine is best suited to support the work of the radiologists and the entire radiology department.
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Affiliation(s)
- Ethan P Larsen
- Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Center for Healthcare Quality and Analytics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
| | - Tigist Hailu
- Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Lydia Sheldon
- Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Abigail Ginader
- Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Nicole Bodo
- Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | | | - Andrew J Degnan
- Department of Radiology, Abington Hospital-Jefferson Health, Abington, Pennsylvania
| | - John Finley
- Facilities Project Management and Construction, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Raymond W Sze
- Associate Radiologist in Chief, Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
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21
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Kelahan LC, Fong A, Blumenthal J, Kandaswamy S, Ratwani RM, Filice RW. The Radiologist's Gaze: Mapping Three-Dimensional Visual Search in Computed Tomography of the Abdomen and Pelvis. J Digit Imaging 2020; 32:234-240. [PMID: 30291478 DOI: 10.1007/s10278-018-0121-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
A radiologist's search pattern can directly influence patient management. A missed finding is a missed opportunity for intervention. Multiple studies have attempted to describe and quantify search patterns but have mainly focused on chest radiographs and chest CTs. Here, we describe and quantify the visual search patterns of 17 radiologists as they scroll through 6 CTs of the abdomen and pelvis. Search pattern tracings varied among individuals and remained relatively consistent per individual between cases. Attendings and trainees had similar eye metric statistics with respect to time to first fixation (TTFF), number of fixations in the region of interest (ROI), fixation duration in ROI, mean saccadic amplitude, or total number of fixations. Attendings had fewer numbers of fixations per second versus trainees (p < 0.001), suggesting efficiency due to expertise. In those cases that were accurately interpreted, TTFF was shorter (p = 0.04), the number of fixations per second and number of fixations in ROI were higher (p = 0.04, p = 0.02, respectively), and fixation duration in ROI was increased (p = 0.02). We subsequently categorized radiologists as "scanners" or "drillers" by both qualitative and quantitative methods and found no differences in accuracy with most radiologists being categorized as "drillers." This study describes visual search patterns of radiologists in interpretation of CTs of the abdomen and pelvis to better approach future endeavors in determining the effects of manipulations such as fatigue, interruptions, and computer-aided detection.
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Affiliation(s)
- Linda C Kelahan
- MedStar Georgetown University Hospital, 3800 Reservoir Road NW, Washington, DC, 20007, USA.
- , 300 Pasteur Drive Room H1307, Stanford, CA, USA.
| | - Allan Fong
- MedStar Institute for Innovation, 3007 Tilden St NW, Washington, DC, 20008, USA
| | - Joseph Blumenthal
- MedStar Institute for Innovation, 3007 Tilden St NW, Washington, DC, 20008, USA
| | - Swaminathan Kandaswamy
- University of Massachusetts, 120H Maraton Hall, 160 Governors Dr, Amherst, MA, 01003, USA
| | - Raj M Ratwani
- MedStar Institute for Innovation, 3007 Tilden St NW, Washington, DC, 20008, USA
| | - Ross W Filice
- MedStar Georgetown University Hospital, 3800 Reservoir Road NW, Washington, DC, 20007, USA
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22
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Ginocchio LA, Rogener J, Chung R, Xue X, Tarnovsky D, McMenamy J. Brainstorming Our Way to Improved Quality, Safety, and Resident Wellness in a Resource-Limited Emergency Department. Curr Probl Diagn Radiol 2020; 51:438-444. [DOI: 10.1067/j.cpradiol.2020.03.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 03/03/2020] [Accepted: 03/18/2020] [Indexed: 01/23/2023]
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23
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O' Neill SB, Vijayasarathi A, Nicolaou S, Walstra F, Salamon N, Munk PL, Khosa F. Evaluating Radiology Result Communication in the Emergency Department. Can Assoc Radiol J 2020; 72:846-853. [PMID: 32063052 DOI: 10.1177/0846537119899268] [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] Open
Abstract
PURPOSE To assess the pattern of result communication that occurs between radiologists and referring physicians in the emergency department setting. METHODS An institutional review board-approved prospective study was performed at a large academic medical center with 24/7 emergency radiology cover. Emergency radiologists logged information regarding all result-reporting communication events that occurred over a 168-hour period. RESULTS A total of 286 independent result communication events occurred during the study period, the vast majority of which occurred via telephone (232/286). Emergency radiologists spent 10% of their working time communicating results. Similar amounts of time were spent discussing negative and positive cross-sectional imaging examinations. In a small minority of communication events, additional information was gathered through communication that resulted in a change of interpretation from a normal to an abnormal study. CONCLUSIONS Effective and efficient result communication is critical to care delivery in the emergency department setting. Discussion regarding abnormal cases, both in person and over the phone, is encouraged. However, in the emergency setting, time spent on routine direct communication of negative examination results in advance of the final report may lead to increased disruptions, longer turnaround times, and negatively impact patient care. In very few instances, does the additional information gained from the communication event result in a change of interpretation?
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Affiliation(s)
- Siobhan B O' Neill
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Arvind Vijayasarathi
- Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Savvas Nicolaou
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Frances Walstra
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Noriko Salamon
- Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Peter L Munk
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Faisal Khosa
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
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24
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Schubel L, Muthu N, Karavite D, Arnold R, Miller K. Design for cognitive support. DESIGN FOR HEALTH 2020:227-250. [DOI: 10.1016/b978-0-12-816427-3.00012-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
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25
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Simon AF, Holmes JH, Schwartz ES. Decreasing radiologist burnout through informatics-based solutions. Clin Imaging 2019; 59:167-171. [PMID: 31821974 DOI: 10.1016/j.clinimag.2019.10.014] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 10/21/2019] [Accepted: 10/28/2019] [Indexed: 01/06/2023]
Abstract
Increased performance demands have interacted with suboptimal use of technology and contributed to burnout among radiologists. Although the problem of radiologist burnout has been well documented, there is a gap in the literature in terms of how technology can be better utilized to lessen the problem. Informatics-based modifications to existing technology hold the potential to reduce the amount of time radiologists spend on noninterpretive tasks, decrease interruptions, facilitate connections with colleagues, and improve patient care. Examples of successful modifications to technology are presented and discussed in relation to how they contribute to improving workplace engagement among radiologists.
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Affiliation(s)
- Andrew F Simon
- Department of Psychology, Seton Hall University, South Orange, NJ, United States of America
| | - John H Holmes
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Erin Simon Schwartz
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, The Children's Hospital of Philadelphia, Philadelphia, PA, United States of America.
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Doshi AM, Moore WH, Kim DC, Rosenkrantz AB, Fefferman NR, Ostrow DL, Recht MP. Informatics Solutions for Driving an Effective and Efficient Radiology Practice. Radiographics 2019; 38:1810-1822. [PMID: 30303784 DOI: 10.1148/rg.2018180037] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Radiologists are facing increasing workplace pressures that can lead to decreased job satisfaction and burnout. The increasing complexity and volumes of cases and increasing numbers of noninterpretive tasks, compounded by decreasing reimbursements and visibility in this digital age, have created a critical need to develop innovations that optimize workflow, increase radiologist engagement, and enhance patient care. During their workday, radiologists often must navigate through multiple software programs, including picture archiving and communication systems, electronic health records, and dictation software. Furthermore, additional noninterpretive duties can interrupt image review. Fragmented data and frequent task switching can create frustration and potentially affect patient care. Despite the current successful technological advancements across industries, radiology software systems often remain nonintegrated and not leveraged to their full potential. Each step of the imaging process can be enhanced with use of information technology (IT). Successful implementation of IT innovations requires a collaborative team of radiologists, IT professionals, and software programmers to develop customized solutions. This article includes a discussion of how IT tools are used to improve many steps of the imaging process, including examination protocoling, image interpretation, reporting, communication, and radiologist feedback. ©RSNA, 2018.
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Affiliation(s)
- Ankur M Doshi
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, 3rd Floor, New York, NY 10016
| | - William H Moore
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, 3rd Floor, New York, NY 10016
| | - Danny C Kim
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, 3rd Floor, New York, NY 10016
| | - Andrew B Rosenkrantz
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, 3rd Floor, New York, NY 10016
| | - Nancy R Fefferman
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, 3rd Floor, New York, NY 10016
| | - Dana L Ostrow
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, 3rd Floor, New York, NY 10016
| | - Michael P Recht
- From the Department of Radiology, NYU Langone Health, 660 1st Ave, 3rd Floor, New York, NY 10016
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Sabat S, Kalapos P, Slonimsky E. Quantifying disruption of workflow by phone calls to the neuroradiology reading room. BMJ Open Qual 2019; 8:e000442. [PMID: 31637315 PMCID: PMC6768390 DOI: 10.1136/bmjoq-2018-000442] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 08/12/2019] [Accepted: 08/18/2019] [Indexed: 11/17/2022] Open
Abstract
Introduction The purpose of this study was to understand the source and the reason for the phone calls to our neuroradiology suit and to quantify the size of the problem in terms of duration of individual and aggregated calls. Materials and methods Observation of the neuroradiology reading room for the entire duration of the working hours over three non-consecutive days was performed, and included telephone calls start time, end time and calls duration for incoming telephone calls. After each phone call the recipients were queried on the details of the phone call; the origin of the call, the reason for the call and the response. Results The average total number of minutes (min) spent on the phone each day was 64 min per working day with a total of 39 phone calls per day and 4.4 per hour on average. The trainees answered 71% of the phone calls with additional intervention by attending in 13% of phone calls. The most common source of phone calls was from either the MRI/CT technicians (48%), followed by providers (20%) and returning pages (18%). Conclusion Cumulative time spent on the phone by neuroradiologists in the reading room ended up in more than an hour per working day, while trainees were taking the majority of phone calls. Most phone calls originated from technicians, hence, requiring specific solutions to mitigate this kind of interruption.
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Affiliation(s)
- Shyam Sabat
- Penn State Health Milton S Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Paul Kalapos
- Penn State Health Milton S Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Einat Slonimsky
- Penn State Health Milton S Hershey Medical Center, Hershey, Pennsylvania, USA
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Wang SS, Revels J, Bhargava P. The Resilient Radiologist: You Will Still Feel the Burn. J Am Coll Radiol 2019; 16:523-525. [DOI: 10.1016/j.jacr.2018.12.049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 12/22/2018] [Accepted: 12/26/2018] [Indexed: 11/16/2022]
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Wynn RM, Howe JL, Kelahan LC, Fong A, Filice RW, Ratwani RM. The Impact of Interruptions on Chest Radiograph Interpretation: Effects on Reading Time and Accuracy. Acad Radiol 2018; 25:1515-1520. [PMID: 29605562 DOI: 10.1016/j.acra.2018.03.016] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 03/02/2018] [Accepted: 03/12/2018] [Indexed: 11/16/2022]
Abstract
RATIONALE AND OBJECTIVES The objective of this study was to experimentally test the effect of interruptions on image interpretation by comparing reading time and response accuracy of interrupted case reads to uninterrupted case reads in resident and attending radiologists. MATERIALS AND METHODS Institutional review board approval was obtained before participant recruitment from an urban academic health-care system during January 2016-March 2016. Eleven resident and 12 attending radiologists examined 30 chest radiographs, rating their confidence regarding the presence or the absence of a pneumothorax. Ten cases were normal (ie, no pneumothorax present), 10 cases had an unsubtle pneumothorax (ie, readily perceivable by a nonexpert), and 10 cases had a subtle pneumothorax. During three reads of each case type, the participants were interrupted with 30 seconds of a secondary task. The total reading time and the accuracy of interrupted and uninterrupted cases were compared. A mixed-factors analysis of variance was run on reading time and accuracy with experience (resident vs attending) as a between-subjects factor and case type (normal, unsubtle, or subtle) and interruption (interruption vs no interruption) as within-subjects factors. RESULTS Interrupted tasks had significantly longer reading times than uninterrupted cases (P = .032). During subtle cases, interruptions reduced accuracy (P = .034), but during normal cases, interruptions increased accuracy (P = .038). CONCLUSIONS Interruptions increased reading times and increased the tendency for a radiologist to conclude that a case is normal for both resident and attending radiologists, demonstrating that interruptions reduce efficiency and introduce patient safety concerns during reads of abnormal cases.
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Affiliation(s)
- Rachel M Wynn
- MedStar Health, National Center for Human Factors in Healthcare, 3007 Tilden Street, NW, Suite 7L, Washington, DC.
| | - Jessica L Howe
- MedStar Health, National Center for Human Factors in Healthcare, 3007 Tilden Street, NW, Suite 7L, Washington, DC
| | - Linda C Kelahan
- Department of Radiology, MedStar Georgetown University Hospital, Washington, District of Columbia
| | - Allan Fong
- MedStar Health, National Center for Human Factors in Healthcare, 3007 Tilden Street, NW, Suite 7L, Washington, DC
| | - Ross W Filice
- MedStar Health, National Center for Human Factors in Healthcare, 3007 Tilden Street, NW, Suite 7L, Washington, DC; Department of Radiology, MedStar Georgetown University Hospital, Washington, District of Columbia
| | - Raj M Ratwani
- MedStar Health, National Center for Human Factors in Healthcare, 3007 Tilden Street, NW, Suite 7L, Washington, DC; Department of Emergency Medicine, Georgetown University School of Medicine, Washington, District of Columbia
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Bell L, James R, Rosa J, Pollentine A, Pettet G, McCoubrie P. Reducing interruptions during duty radiology shifts, assessment of its benefits and review of factors affecting the radiology working environment. Clin Radiol 2018; 73:759.e19-759.e25. [DOI: 10.1016/j.crad.2018.04.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Accepted: 04/11/2018] [Indexed: 11/28/2022]
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Drew T, Williams LH, Aldred B, Heilbrun ME, Minoshima S. Quantifying the costs of interruption during diagnostic radiology interpretation using mobile eye-tracking glasses. J Med Imaging (Bellingham) 2018. [PMID: 29531970 PMCID: PMC5833804 DOI: 10.1117/1.jmi.5.3.031406] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
What are the costs and consequences of interruptions during diagnostic radiology? The cognitive psychology literature suggests that interruptions lead to an array of negative consequences that could hurt patient outcomes and lead to lower patient throughput. Meanwhile, observational studies have both noted a strikingly high rate of interruptions and rising number of interruptions faced by radiologists. There is some observational evidence that more interruptions could lead to worse patient outcomes: Balint et al. (2014) found that the shifts with more telephone calls received in the reading room were associated with more discrepant calls. The purpose of the current study was to use an experimental manipulation to precisely quantify the costs of two different types of interruption: telephone interruption and an interpersonal interruption. We found that the first telephone interruption led to a significant increase in time spent on the case, but there was no effect on diagnostic accuracy. Eye-tracking revealed that interruptions strongly influenced where the radiologists looked: they tended to spend more time looking at dictation screens and less on medical images immediately after interruption. Our results demonstrate that while radiologists’ eye movements are reliably influenced by interruptions, the behavioral consequences were relatively mild, suggesting effective compensatory mechanisms.
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Affiliation(s)
- Trafton Drew
- University of Utah, Department of Psychology, Salt Lake City, Utah, United States
| | - Lauren H Williams
- University of Utah, Department of Psychology, Salt Lake City, Utah, United States
| | - Booth Aldred
- University of Utah, Department of Radiology and Imaging Sciences, Salt Lake City, Utah, United States.,Austin Radiological Association, Austin, Texas, United States
| | - Marta E Heilbrun
- University of Utah, Department of Radiology and Imaging Sciences, Salt Lake City, Utah, United States.,Emory University Hospital, Department of Radiology and Imaging Sciences, Atlanta, Georgia, United States
| | - Satoshi Minoshima
- University of Utah, Department of Radiology and Imaging Sciences, Salt Lake City, Utah, United States
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Williams LH, Drew T. Distraction in diagnostic radiology: How is search through volumetric medical images affected by interruptions? Cogn Res Princ Implic 2017; 2:12. [PMID: 28275705 PMCID: PMC5318487 DOI: 10.1186/s41235-017-0050-y] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2016] [Accepted: 01/14/2017] [Indexed: 11/10/2022] Open
Abstract
Observational studies have shown that interruptions are a frequent occurrence in diagnostic radiology. The present study used an experimental design in order to quantify the cost of these interruptions during search through volumetric medical images. Participants searched through chest CT scans for nodules that are indicative of lung cancer. In half of the cases, search was interrupted by a series of true or false math equations. The primary cost of these interruptions was an increase in search time with no corresponding increase in accuracy or lung coverage. This time cost was not modulated by the difficulty of the interruption task or an individual's working memory capacity. Eye-tracking suggests that this time cost was driven by impaired memory for which regions of the lung were searched prior to the interruption. Potential interventions will be discussed in the context of these results.
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Affiliation(s)
| | - Trafton Drew
- Department of Psychology, University of Utah, Salt Lake City, UT USA
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