ArticleJAMA network open2019
Association of the Usability of Electronic Health Records With Cognitive Workload and Performance Levels Among Physicians.
Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
76 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Cognitive Load Measurement Methods for Usability Testing: A Critical Analysis and Framework for Interface Evaluation.Human factors · 2026Pooled it
- Communicating blood test results in primary care: a mixed-methods systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025Pooled it
- Examining Mental Workload Relating to Digital Health Technologies in Health Care: Systematic Review.Journal of medical Internet research · 2022Pooled it
- The Effect of the Electronic Health Record on Interprofessional Practice: A Systematic Review.Applied clinical informatics · 2022Pooled it
- Systematic review of applied usability metrics within usability evaluation methods for hospital electronic healthcare record systems: Metrics and Evaluation Methods for eHealth Systems.Journal of evaluation in clinical practice · 2021Pooled it
- The burden of the digital environment: a systematic review on organization-directed workplace interventions to mitigate physician burnout.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Does a paper-based information system based on a human-centred design (PHISICC) reduce the time needed for reporting health data in Nigeria?BMC health services research · 2026Trial
- Learning from Misses: Evaluating a Clinical Decision Support for Chronic Pain Management in Primary Care.Applied clinical informatics · 2025Trial
- Symptom management in cancer care: An evolutionary concept analysis for a digitally enabled collaborative framework.Asia-Pacific journal of oncology nursing · 2026Review
- Ambient Artificial Intelligence Scribes: A Scoping Review With Implications for Otolaryngology.The Laryngoscope · 2026Article
- Quantifying and Visualizing Emergency Physician Workflow: Observational Time-Motion Study.JMIR medical informatics · 2026Observational
- Digital Management of Early-Onset Type 2 Diabetes: Empowerment, Challenges, and Future Outlook.Current diabetes reports · 2026Review
- The Case for the Pediatric Cardiologist-Informaticist.Pediatric cardiology · 2026Review
- Digital solutions in acute medicine: Will electronic health records join up the patient journey (soon?).Future healthcare journal · 2026Article
- The Impact of Electronic Health Records on Family Physicians During Simulated Virtual Encounters: Exploratory Mixed Methods Study.JMIR medical informatics · 2026Article
- Clinicians' Visual Attention During Suicide Screening Encounters: An Exploratory Eye-Tracking Study.medRxiv : the preprint server for health sciences · 2026Article
- When better data meets better design: How EHR data usability and system usability shape physicians' cognitive load.NPJ digital medicine · 2026Article
- Motivating Medical Innovators: A Qualitative COM-B Analysis of Physician-Scientists Engagement in Biomedical Advancement in Chinese Academic Medical Centers.Advances in medical education and practice · 2026Article
- Impact of Laboratory Data Integration into Outpatient Prescriptions on Community Pharmacist Feedback and Physician Responses: A Single-Center Retrospective Study.Risk management and healthcare policy · 2026Article
- EMR usability and patient safety: a national survey of physicians.NPJ digital medicine · 2025Article
16 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
4 authors.
Funding
Abstract
Importance: Current electronic health record (EHR) user interfaces are suboptimally designed and may be associated with excess cognitive workload and poor performance. Objective: To assess the association between the usability of an EHR system for the management of abnormal test results and physicians' cognitive workload and performance levels. Design, Setting, and Participants: This quality improvement study was conducted in a simulated EHR environment. From April 1, 2016, to December 23, 2016, residents and fellows from a large academic institution were enrolled and allocated to use either a baseline EHR (n = 20) or an enhanced EHR (n = 18). Data analyses were conducted from January 9, 2017, to March 30, 2018. Interventions: The EHR with enhanced usability segregated in a dedicated folder previously identified critical test results for patients who did not appear for a scheduled follow-up evaluation and provided policy-based decision support instructions for next steps. The baseline EHR displayed all patients with abnormal or critical test results in a general folder and provided no decision support instructions for next steps. Main Outcomes and Measures: Cognitive workload was quantified subjectively using NASA-Task Load Index and physiologically using blink rates. Performance was quantified according to the percentage of appropriately managed abnormal test results. Results: Of the 38 participants, 25 (66%) were female. The 20 participants allocated to the baseline EHR compared with the 18 allocated to the enhanced EHR demonstrated statistically significantly higher cognitive workload as quantified by blink rate (mean [SD] blinks per minute, 16 [9] vs 24 [7]; blink rate, -8 [95% CI, -13 to -2]; P = .01). The baseline group showed statistically significantly poorer performance compared with the enhanced group who appropriately managed 16% more abnormal test results (mean [SD] performance, 68% [19%] vs 98% [18%]; performance rate, -30% [95% CI, -40% to -20%]; P < .001). Conclusions and Relevance: Relatively basic usability enhancements to the EHR system appear to be associated with better physician cognitive workload and performance; this finding suggests that next-generation systems should strip away non-value-added EHR interactions, which may help physicians eliminate the need to develop their own suboptimal workflows.
Indexed as
Identifiers
What OpenQuestion holds
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.