ArticleJournal of the American Medical Informatics Association : JAMIA
Understanding differences in electronic health record (EHR) use: linking individual physicians' perceptions of uncertainty and EHR use patterns in ambulatory care.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Comprehensive process model of clinical information interaction in primary care: results of a "best-fit" framework synthesis.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
- Defining and Measuring Diagnostic Uncertainty in Medicine: A Systematic Review.Journal of general internal medicine · 2018Pooled it
- Longitudinal symptom severity tracking in vagus nerve stimulation patients: a 2-stage LLM-based pipeline with explainable AI.JAMIA open · 2026Article
- Impact of Provider Health Information Exchange Services on Patient Utilization of Emergency Room and Inpatient Practices in Colorado.Journal of clinical medicine · 2025Article
- Assessing the Impact on Electronic Health Record Burden After Five Years of Physician Engagement in a Canadian Mental Health Organization: Mixed-Methods Study.JMIR human factors · 2025Article
- Clinical encounter heterogeneity and methods for resolving in networked EHR data: a study from N3C and RECOVER programs.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Digital Maturity and Its Measurement of General Practitioners: A Scoping Review.International journal of environmental research and public health · 2023Article
- Outcomes of Vital Sign Monitoring of an Acute Surgical Cohort With Wearable Sensors and Digital Alerting Systems: A Pragmatically Designed Cohort Study and Propensity-Matched Analysis.Frontiers in bioengineering and biotechnology · 2022Article
- In Response: Physician Tolerance of Uncertainty.Journal of general internal medicine · 2021Article
- The Effect of Organizational Changes on the Psychosocial Work Environment: Changes in Psychological and Social Working Conditions Following Organizational Changes.Frontiers in psychology · 2019Article
- Examining the Complexity of Patient-Outpatient Care Team Secure Message Communication: Qualitative Analysis.Journal of medical Internet research · 2018Article
- Embracing uncertainty, managing complexity: applying complexity thinking principles to transformation efforts in healthcare systems.BMC health services research · 2018Article
- Measuring Electronic Health Record Use in Primary Care: A Scoping Review.Applied clinical informatics · 2018Article
- Ceiling effect in EMR system assimilation: a multiple case study in primary care family practices.BMC medical informatics and decision making · 2017Article
- Nurses' perceptions of a novel health information technology: A qualitative study in the pediatric intensive care unit.International journal of human-computer interaction · 2017Article
- Provider Use of a Novel EHR display in the Pediatric Intensive Care Unit. Large Customizable Interactive Monitor (LCIM).Applied clinical informatics · 2016Article
- Supporting novice clinicians cognitive strategies: System design perspective.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2016Article
- Primary Care Physician Designation and Response to Clinical Decision Support Reminders: A Cross-Sectional Study.Applied clinical informatics · 2016Article
- Associations between healthcare quality and use of electronic health record functions in ambulatory care.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- Using High-Fidelity Simulation and Eye Tracking to Characterize EHR Workflow Patterns among Hospital Physicians.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectiveElectronic health records (EHR) hold great promise for managing patient information in ways that improve healthcare delivery. Physicians differ, however, in their use of this health information technology (IT), and these differences are not well understood. The authors study the differences in individual physicians' EHR use patterns and identify perceptions of uncertainty as an important new variable in understanding EHR use.
designQualitative study using semi-structured interviews and direct observation of physicians (n=28) working in a multispecialty outpatient care organization. MEASUREMENTS: We identified physicians' perceptions of uncertainty as an important variable in understanding differences in EHR use patterns. Drawing on theories from the medical and organizational literatures, we identified three categories of perceptions of uncertainty: reduction, absorption, and hybrid. We used an existing model of EHR use to categorize physician EHR use patterns as high, medium, and low based on degree of feature use, level of EHR-enabled communication, and frequency that EHR use patterns change.
resultsPhysicians' perceptions of uncertainty were distinctly associated with their EHR use patterns. Uncertainty reductionists tended to exhibit high levels of EHR use, uncertainty absorbers tended to exhibit low levels of EHR use, and physicians demonstrating both perspectives of uncertainty (hybrids) tended to exhibit medium levels of EHR use.
conclusionsWe find evidence linking physicians' perceptions of uncertainty with EHR use patterns. Study findings have implications for health IT research, practice, and policy, particularly in terms of impacting health IT design and implementation efforts in ways that consider differences in physicians' perceptions of uncertainty.
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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.