ArticleJournal of the American Medical Informatics Association : JAMIA2022
Using event logs to observe interactions with electronic health records: an updated scoping review shows increasing use of vendor-derived measures.
Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 41 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
41 citing papers in PubMed.
- The STREAMLINE Pilot Study on Time Reduction and Efficiency in AI-Mediated Logging for Improved Note-Taking Experience.Applied clinical informatics · 2025Trial
- The use of objective EHR-and schedule-based clinical workload and EHR use measures in predicting inpatient pediatric provider burnout.JAMIA open · 2026Article
- Quantitative Insights From Nursing Workload Measurement: An Artificial Intelligence-Driven Approach.Military medicine · 2026Article
- Quantifying and Visualizing Emergency Physician Workflow: Observational Time-Motion Study.JMIR medical informatics · 2026Observational
- Quantifying manual editing time in autocontouring via audit log analysis.Physics and imaging in radiation oncology · 2026Article
- Predicting Electronic Health Record Usability: Scoping Review of Adoption Models, Metrics, and Future Directions.JMIR human factors · 2026Article
- Variation in Measures of Electronic Health Record Use Outside Scheduled Hours: A Cross-Sectional Study of Academic Primary Care Physicians.Applied clinical informatics · 2026Article
- The role of electronic health records systems in de-implementing low-value care in primary care: a scoping review.Implementation science communications · 2025Review
- Behavioral Phenotypes in Electronic Health Record Use by Primary Care Providers: a Cluster Analysis.Journal of general internal medicine · 2025Article
- Identifying Electronic Health Record Tasks and Activity Using Computer Vision.Applied clinical informatics · 2025Article
- Association Between Conversational Multitasking and Clinician Work Behaviors at a Large US Health Care System: Cohort Study.Journal of medical Internet research · 2025Observational
- The Lifecycle of Electronic Health Record Data in HIV-Related Big Data Studies: Qualitative Study of Bias Instances and Potential Opportunities for Minimization.Journal of medical Internet research · 2025Article
- Electronic health record activity changes around new decision support implementation: monitoring using audit logs and topic modeling.JAMIA open · 2025Article
- Trends in electronic health record metadata use for management purposes.Learning health systems · 2025Article
- Association of EHR-Integrated Secure Messaging Use with Clinician Workload and Attention Switching.Journal of general internal medicine · 2025Article
- Does autotext usage decrease documentation time among resident physicians? A retrospective analysis of electronic health record usage data.JAMIA open · 2025Article
- How Data Analytics Can Be Leveraged to Enhance Graduate Clinical Skills Education.Journal of graduate medical education · 2025Article
- Digital supervision in the clinical learning environment: Characterizing teamwork in the electronic health record.Journal of hospital medicine · 2025Article
- Emerging Domains for Measuring Health Care Delivery With Electronic Health Record Metadata.Journal of medical Internet research · 2025Review
- An electronic health record metadata-mining approach to identifying patient-level interprofessional clinician teams in the intensive care unit.Journal of the American Medical Informatics Association : JAMIA · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
objectiveThe aim of this article is to compare the aims, measures, methods, limitations, and scope of studies that employ vendor-derived and investigator-derived measures of electronic health record (EHR) use, and to assess measure consistency across studies. MATERIALS AND
methodsWe searched PubMed for articles published between July 2019 and December 2021 that employed measures of EHR use derived from EHR event logs. We coded the aims, measures, methods, limitations, and scope of each article and compared articles employing vendor-derived and investigator-derived measures.
resultsOne hundred and two articles met inclusion criteria; 40 employed vendor-derived measures, 61 employed investigator-derived measures, and 1 employed both. Studies employing vendor-derived measures were more likely than those employing investigator-derived measures to observe EHR use only in ambulatory settings (83% vs 48%, P = .002) and only by physicians or advanced practice providers (100% vs 54% of studies, P < .001). Studies employing vendor-derived measures were also more likely to measure durations of EHR use (P < .001 for 6 different activities), but definitions of measures such as time outside scheduled hours varied widely. Eight articles reported measure validation. The reported limitations of vendor-derived measures included measure transparency and availability for certain clinical settings and roles. DISCUSSION: Vendor-derived measures are increasingly used to study EHR use, but only by certain clinical roles. Although poorly validated and variously defined, both vendor- and investigator-derived measures of EHR time are widely reported.
conclusionThe number of studies using event logs to observe EHR use continues to grow, but with inconsistent measure definitions and significant differences between studies that employ vendor-derived and investigator-derived measures.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.