The Impact of Automated Notification on Follow-up of Actionable Tests Pending at Discharge: a Cluster-Randomized Controlled Trial

The Value of Using a Quality Assurance Follow-Up Team to Address Incidental Findings After Emergency Department or Urgent Care Discharge: A Cost Analysis

BACKGROUND

Incidental finding (IF) follow-up is of critical importance for patient safety and is a source of malpractice risk. Laboratory, imaging, or other types of IFs are often uncovered incidentally and are missed, not addressed, or only result after hospital discharge. Despite a growing IF notification literature, a need remains to study cost-effective non-electronic health record (EHR)-specific solutions that can be used across different types of IFs and EHRs.

OBJECTIVE

The objective of this study was to evaluate the utility and cost-effectiveness of an EHR-independent emergency medicine-based quality assurance (QA) follow-up program in which an experienced nurse reviewed laboratory and imaging studies and ensured appropriate follow-up of results.

METHODS

A QA nurse reviewed preceding-day abnormal studies from a tertiary care hospital, a community hospital, and an urgent care center. Laboratory values outside preset parameters or radiology over-reads resulting in clinically actionable changes triggered contact with an on-call emergency physician to determine an appropriate intervention and its implementation.

RESULTS

Of 104,125 visits with 1,351,212 laboratory studies and 95,000 imaging studies, 6530 visits had IFs, including 2659 laboratory and 4004 imaging results. The most common intervention was contacting a primary care physician (5783 cases [88.6%]). Twenty-one cases resulted in a patient returning to the ED, at an average cost of $28,000 per potential life-/limb-saving intervention.

CONCLUSIONS

Although abnormalities in laboratory results and imaging are often incidental to patient care, a dedicated emergency department QA follow-up program resulted in the identification and communication of numerous laboratory and imaging abnormalities and may result in changes to patients' subsequent clinical course, potentially increasing patient safety.

Transitional Care Interventions From Hospital to Community to Reduce Health Care Use and Improve Patient Outcomes: A Systematic Review and Network Meta-Analysis

Importance

Discharge from the hospital to the community has been associated with serious patient risks and excess service costs.

Objective

To evaluate the comparative effectiveness associated with transitional care interventions with different complexity levels at improving health care utilization and patient outcomes in the transition from the hospital to the community.

Data Sources

CENTRAL, Embase, MEDLINE, and PsycINFO were searched from inception until August 2022.

Study Selection

Randomized clinical trials evaluating transitional care interventions from hospitals to the community were identified.

Data Extraction and Synthesis

At least 2 reviewers were involved in all data screening and extraction. Random-effects network meta-analyses and meta-regressions were applied. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines were followed.

Main Outcomes and Measures

The primary outcomes were readmission at 30, 90, and 180 days after discharge. Secondary outcomes included emergency department visits, mortality, quality of life, patient satisfaction, medication adherence, length of stay, primary care and outpatient visits, and intervention uptake.

Results

Overall, 126 trials with 97 408 participants were included, 86 (68%) of which were of low risk of bias. Low-complexity interventions were associated with the most efficacy for reducing hospital readmissions at 30 days (odds ratio [OR], 0.78; 95% CI, 0.66 to 0.92) and 180 days (OR, 0.45; 95% CI, 0.30 to 0.66) and emergency department visits (OR, 0.68; 95% CI, 0.48 to 0.96). Medium-complexity interventions were associated with the most efficacy at reducing hospital readmissions at 90 days (OR, 0.64; 95% CI, 0.45 to 0.92), reducing adverse events (OR, 0.42; 95% CI, 0.24 to 0.75), and improving medication adherence (standardized mean difference [SMD], 0.49; 95% CI, 0.30 to 0.67) but were associated with less efficacy than low-complexity interventions for reducing readmissions at 30 and 180 days. High-complexity interventions were most effective for reducing length of hospital stay (SMD, -0.20; 95% CI, -0.38 to -0.03) and increasing patient satisfaction (SMD, 0.52; 95% CI, 0.22 to 0.82) but were least effective for reducing readmissions at all time periods. None of the interventions were associated with improved uptake, quality of life (general, mental, or physical), or primary care and outpatient visits.

Conclusions and Relevance

These findings suggest that low- and medium-complexity transitional care interventions were associated with reducing health care utilization for patients transitioning from hospitals to the community. Comprehensive and consistent outcome measures are needed to capture the patient benefits of transitional care interventions.

Construction and effectiveness evaluation of a knowledge-based infectious disease monitoring and decision support system

To improve the hospital's ability to proactively detect infectious diseases, a knowledge-based infectious disease monitoring and decision support system was established based on real medical records and knowledge rules. The effectiveness of the system was evaluated using interrupted time series analysis. In the system, a monitoring and alert rule library for infectious diseases was generated by combining infectious disease diagnosis guidelines with literature and a real medical record knowledge map. The system was integrated with the electronic medical record system, and doctors were provided with various types of real-time warning prompts when writing medical records. The effectiveness of the system's alerts was analyzed from the perspectives of false positive rates, rule accuracy, alert effectiveness, and missed case rates using interrupted time series analysis. Over a period of 12 months, the system analyzed 4,497,091 medical records, triggering a total of 12,027 monitoring alerts. Of these, 98.43% were clinically effective, while 1.56% were invalid alerts, mainly owing to the relatively rough rules generated by the guidelines leading to several false alarms. In addition, the effectiveness of the system's alerts, distribution of diagnosis times, and reporting efficiency of doctors were analyzed. 89.26% of infectious disease cases could be confirmed and reported by doctors within 5 min of receiving the alert, and 77.6% of doctors could complete the filling of 33 items of information within 2 min, which is a reduction in time compared to the past. The timely reminders from the system reduced the rate of missed cases by doctors; the analysis using interrupted time series method showed an average reduction of 4.4037% in the missed-case rate. This study proposed a knowledge-based infectious disease decision support system based on real medical records and knowledge rules, and its effectiveness was verified. The system improved the management of infectious diseases, increased the reliability of decision-making, and reduced the rate of underreporting.

The impact of clinical decision support systems on provider behavior in the inpatient setting: A systematic review and meta-analysis

BACKGROUND

Clinical decision support systems (CDSS) are used to improve processes of care. CDSS proliferation may have unintended consequences impacting effectiveness.

OBJECTIVE

To evaluate the effectiveness of CDSS in altering clinician behavior.

DESIGN

Electronic searches were performed in EMBASE, PubMed, and Cochrane Central Register of Control Trials for randomized controlled trials testing the impacted of CDSS on clinician behavior from 2000-2021. Extracted data included study design, CDSS attributed and outcomes, user characteristics, settings, and risk of bias. Eligible studies were analyzed qualitatively to describe CDSS types. Studies with sufficient outcome data were included in the meta-analysis.

SETTING AND PARTICIPANTS

Adult inpatients in the United States.

INTERVENTION

Clinical decision support system versus non-clinical decision support system.

MAIN OUTCOME AND MEASURE

A random-effects model measured the pooled risk difference (RD) and odds ratio of clinicians' adherence to CDSS; subgroup analyses tested differences in CDSS effectiveness over time and by CDSS type.

RESULTS

Qualitative synthesis included 22 studies. Eleven studies reported sufficient outcome data for inclusion in the meta-analysis. CDSS did not result in a statistically significant increase in clinician adoption of desired practicies (RD = 0.04 [95% confidence interval {CI} 0.00, 0.07]). CDSS from 2010-2015 (n = 5) did not increase clinician adoption of desired practice [RD -0.01, (95% CI -0.04, 0.02)].CDSS from 2016-2021 (n = 6) were associated with an increase in targeted practices [RD 0.07 (95% CI0.03, 0.12)], pInteraction = 0.004. EHR [RD 0.04 (95% CI 0.00, 0.08)] vs. non-EHR [RD 0.01 (95% CI -0.01, 0.04)] based CDSS interventions did not result in different adoption of desired practices (pInteraction = 0.27). The meta-analysis did not find an overall positive impact of CDSS on clinician behavior in the inpatient setting.

Identifying the mechanisms that contribute to safe and effective electronic test result management systems- a multisite qualitative study

OBJECTIVE

Suboptimal design of health information technology (IT) systems can lead to the introduction of errors in the diagnostic process. We aimed to identify mechanisms that can affect the safety and effectiveness of these systems in hospital settings thus contributing to the building of an explicit and replicable understanding of the variables that can affect the functioning of IT systems.

MATERIALS AND METHODS

This qualitative study drew from observations and semistructured interviews from a purposive sample of 46 participants (26 emergency department and 20 laboratory and medical imaging staff) across 3 Australian hospitals. Iterative, inductive coding of the data led to the development of higher-level themes based on relationships between codes.

RESULTS

Two overarching themes emerged: (1) usability and safety of the electronic test result management system; and (2) system redesign considerations about who is meant to follow up, when and how. The usability and safety of digital systems and the way these systems deal with accountability processes are triggered by mechanisms that are contextually dependent.

DISCUSSION

Our findings highlighted the multitransactional nature of the test result management process involving numerous healthcare professionals across different settings. This communication requires integration of the systems utilized by different departments and transparency of the test result follow-up process to facilitate clear lines of responsibility and accountability.

CONCLUSION

Identifying mechanisms that shape the functionality and sustainability of electronic result management can offer a valuable appreciation of key elements that need to be accounted for, and the circumstances in which they need to operate effectively.

Improving Follow-Up of Tests Pending at Discharge

BACKGROUND AND OBJECTIVES

Follow-up on results of inpatient tests pending at discharge (TPAD) must occur to ensure patient safety and high-quality care continue after discharge. We identified a need to improve follow-up of TPAD and began a quality improvement initiative with an aim of reducing the rate of missed follow-up of TPAD to ≤20% within 12 months.

METHODS

The team used the Plan-Do-Study-Act method of quality improvement and implemented a process using reminder messages in the electronic health record. We collected data via retrospective chart review for the 6 months before the intervention and monthly thereafter. The primary outcome measure was the percentage of patients with missed follow-up of TPAD, defined as no documented follow-up within 72 hours of a result being available. The use of a reminder message was monitored as a process measure.

RESULTS

We reviewed charts of 764 discharged patients, and 216 (28%) were noted to have TPAD. At baseline, the average percentage of patients with missed follow-up was 80%. The use of reminder messages was quickly adopted. The average percentage of patients with missed follow-up of TPAD after beginning the quality improvement interventions was 35%.

CONCLUSIONS

We had significant improvement in follow-up after our interventions. Additional work is needed to ensure continued and sustained improvement, focused on reducing variability in performance between providers and investing in technology to allow for automation of the follow-up process.

Improving ACGME Compliance for Obstetric Anesthesiology Fellows Using an Automated Email Notification System

BACKGROUND

The Accreditation Council for Graduate Medical Education establishes minimum case requirements for trainees. In the subspecialty of obstetric anesthesiology, requirements for fellow participation in nonobstetric antenatal procedures pose a particular challenge due to the physical location remote from labor and delivery and frequent last-minute scheduling.

OBJECTIVES

In response to this challenge, we implemented an informatics-based notification system, with the aim of increasing fellow participation in nonobstetric antenatal surgeries.

METHODS

In December 2014 an automated email notification system to inform obstetric anesthesiology fellows of scheduled nonobstetric surgeries in pregnant patients was initiated. Cases were identified via daily automated query of the preoperative evaluation database looking for structured documentation of current pregnancy. Information on flagged cases including patient medical record number, operating room location, and date and time of procedure were communicated to fellows via automated email daily. Median fellow participation in nonobstetric antenatal procedures per quarter before and after implementation were compared using an exact Wilcoxon-Mann-Whitney test due to low baseline absolute counts. The fraction of antenatal cases representing nonobstetric procedures completed by fellows before and after implementation was compared using a Fisher's exact test.

RESULTS

The number of nonobstetric antenatal cases logged by fellows per quarter increased significantly following implementation, from median 0[0,1] to 3[1,6] cases/quarter (p = 0.007). Additionally, nonobstetric antenatal cases completed by fellows as a percentage of total antenatal cases completed increased from 14% in preimplementation years to 52% in postimplementation years (p < 0.001).

CONCLUSION

Through an automated email system to identify nonobstetric antenatal procedures in pregnant patients, we were able to increase the number of these cases completed by fellows during 3 years following implementation.

The impact of health information technology on the management and follow-up of test results - a systematic review

OBJECTIVE

To investigate the impact of health information technology (IT) systems on clinicians' work practices and patient engagement in the management and follow-up of test results.

MATERIALS AND METHODS

A search for studies reporting health IT systems and clinician test results management was conducted in the following databases: MEDLINE, EMBASE, CINAHL, Web of Science, ScienceDirect, ProQuest, and Scopus from January 1999 to June 2018. Test results follow-up was defined as provider follow-up of results for tests that were sent to the laboratory and radiology services for processing or analysis.

RESULTS

There are some findings from controlled studies showing that health IT can improve the proportion of tests followed-up (15 percentage point change) and increase physician awareness of test results that require action (24-28 percentage point change). Taken as whole, however, the evidence of the impact of health IT on test result management and follow-up is not strong.

DISCUSSION

The development of safe and effective test results management IT systems should pivot on several axes. These axes include 1) patient-centerd engagement (involving shared, timely, and meaningful information); 2) diagnostic processes (that involve the integration of multiple people and different clinical settings across the health care spectrum); and 3) organizational communications (the myriad of multi- transactional processes requiring feedback, iteration, and confirmation) that contribute to the patient care process.

CONCLUSION

Existing evidence indicates that health IT in and of itself does not (and most likely cannot) provide a complete solution to issues related to test results management and follow-up.

Factors influencing digital review of pathology test results in an inpatient setting: a cross-sectional study

BACKGROUND

Delay or failure to view test results in a hospital setting can lead to delayed diagnosis, risk of patient harm, and represents inefficiency. Factors influencing this were investigated to identify how timeliness and completeness of test review could be improved through an evidence-based redesign of the use of clinical test review software.

METHODS

A cross-section of all abnormal hematology and biochemistry results which were published on a digital test review platform over a 3-year period were investigated. The time it took for clinicians to view these results, and the results that were not viewed within 30 days, were analyzed relative to time of the week, the detailed type of test, and an indicator of patient record data quality.

RESULTS

The majority of results were viewed within 90 min, and 93.9% of these results viewed on the digital platform within 30 days. There was significant variation in results review throughout the week, shown to be due to an interplay between technical and clinical workflow factors. Routine results were less likely to be reviewed, as were those with patient record data quality issues.

CONCLUSION

The evidence suggests that test result review would be improved by stream-lining access to the result platform, differentiating between urgent and routine results, improving handover of responsibility for result review, and improving search for temporary patient records. Altering the timing of phlebotomy rounds and a review of the appropriateness of routine test requests at the weekend may also improve result review rates.

Impact of EMR Automated Results Routing Tool Implementation on Notification of Inpatient Endoscopy Biopsy Results

BACKGROUND

Mucosal biopsies are often obtained during inpatient endoscopies to aid diagnosis. Up to 75% of patients are reported to have pending test results at discharge. Incomplete result communication to patients can lead to patient anxiety and poor outcomes. This study aimed to evaluate the impact of a systemwide electronic medical record (EMR) update on result communication.

METHODS

The researchers retrospectively reviewed 100 inpatient endoscopies pending histopathology results at discharge to see if finalized results were communicated to the patients within 30 days. The same metric was studied after implementation of an EMR update that automatically routed results to the supervising endoscopist, by reviewing another 100 inpatient endoscopies during which biopsies were obtained. Follow-up rate pre- and post-EMR update was compared.

RESULTS

Prior to the update, 47/77 (61.0%) histopathology results were communicated to the patients. Of the 30 nonreported cases, 17 showed nonspecific/chronic inflammation, 8 had no abnormal findings, 3 showed hyperplastic colon polyps, and 2 had colonic tubular adenomas. Following the EMR update, 65/71 (91.5%) of pathology results were communicated, demonstrating an increase of 30.5 percentage points in the rate of follow-up (95% confidence interval [CI] = 17.7-43.0, p < 0.0001).

CONCLUSION

This study observed that 39.0% of inpatient endoscopic mucosal biopsy results in one health care system were not communicated to the patients. Implementation of a systemwide EMR intervention reduced this to 8.5% by shifting the responsibility of result communication to the endoscopy team. Similar EMR enhancements can be applied to other pending test results in health care systems with similar issues.

Semiautomated System for Nonurgent, Clinically Significant Pathology Results

BACKGROUND

Failure of timely test result follow-up has consequences including delayed diagnosis and treatment, added costs, and potential patient harm. Closed-loop communication is key to ensure clinically significant test results (CSTRs) are acknowledged and acted upon appropriately. A previous implementation of the Alert Notification of Critical Results (ANCR) system to facilitate closed-loop communication of imaging CSTRs yielded improved communication of critical radiology results and enhanced adherence to institutional CSTR policies.

OBJECTIVE

This article extends the ANCR application to pathology and evaluates its impact on closed-loop communication of new malignancies, a common and important type of pathology CSTR.

MATERIALS AND METHODS

This Institutional Review Board-approved study was performed at a 150-bed community, academically affiliated hospital. ANCR was adapted for pathology CSTRs. Natural language processing was used on 30,774 pathology reports 13 months pre- and 13 months postintervention, identifying 5,595 reports with malignancies. Electronic health records were reviewed for documented acknowledgment for a random sample of reports. Percent of reports with documented acknowledgment within 15 days assessed institutional policy adherence. Time to acknowledgment was compared pre- versus postintervention and postintervention with and without ANCR alerts. Pathologists were surveyed regarding ANCR use and satisfaction.

RESULTS

Acknowledgment within 15 days was documented for 98 of 107 (91.6%) pre- and 89 of 103 (86.4%) postintervention reports (p = 0.2294). Median time to acknowledgment was 7 days (interquartile range [IQR], 3, 11) preintervention and 6 days (IQR, 2, 10) postintervention (p = 0.5083). Postintervention, median time to acknowledgment was 2 days (IQR, 1, 6) for reports with ANCR alerts versus 6 days (IQR, 2.75, 9) for reports without alerts (p = 0.0351). ANCR alerts were sent on 15 of 103 (15%) postintervention reports. All pathologists reported that the ANCR system positively impacted their workflow; 75% (three-fourths) felt that the ANCR system improved efficiency of communicating CSTRs.

CONCLUSION

ANCR expansion to facilitate closed-loop communication of pathology CSTRs was favorably perceived and associated with significant improved time to documented acknowledgment for new malignancies. The rate of adherence to institutional policy did not improve.