Studying Workflow and Workarounds in Electronic Health Record–Supported Work to Improve Health System Performance
Open accessAbstract
Clinical workflow is the enactment of a series of steps to perform a clinical activity. The transition from paper to electronic health records (EHRs) over the past decade has been characterized by profound challenges supporting clinical workflow, impeding frontline clinicians' ability to deliver safe, efficient, and effective care. In response, there has been substantial effort to study clinical workflow as well as workarounds-exceptions to routine workflow-in order to identify opportunities for improvement. This article describes predominant methods of studying workflow and workarounds and provides examples of the applications of these methods along with the resulting insights. Challenges to studying workflow and workarounds are described, and recommendations for how to approach such studies are given. Although there is not yet a set of standard approaches, this article helps advance workflow research that ultimately serves to inform how to coevolve the design of EHR systems and organizational decisions about processes, roles, and responsibilities in order to support clinical workflow that more consistently delivers on the potential benefits of a digitized health care system.
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Existing approaches for evaluating the impact of CDS on provider EHR-use activities and clinical workflow heavily rely on manual data collected through surveys, qualitative interviews, direct observation, and audio/video recording.
“Existing approaches for evaluating the impact of CDS on provider EHR-use activities and clinical workflow heavily rely on manual data collected through surveys, qualitative interviews, direct observation, and audio/video recording.10,13,16–19”
From Electronic health record activity changes around new decision support implementation: monitoring using audit logs and topic modeling (2025) · cites this paper as [19]
In “Approaches to Studying Workflow and Workarounds” (page unavailable), the paper says qualitative observations, including video ethnography, and interviews are the most commonly used approaches; it also describes observer-led time-motion studies. It does not establish the same pattern specifically for CDS-impact evaluations or identify audio recordings as a common data source, and it describes EHR log analysis as another popular method. (LLM, conf=0.82)
Experimental — accuracy not yet measuredAudit logs capture an ordered sequence of a clinician's activities within the EHR and provide a record of clinical work.
“Audit logs capture an ordered sequence of a clinician's activities within the EHR and provide a record of clinical work”
From A language model framework for sequence modeling of EHR audit logs to characterize clinician-EHR interactions (2026) · cites this paper as [5]
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- Authors
- Zheng, K., Ratwani, R. M., & Adler-Milstein, J.
- Affiliations
- University of California, Irvine (US)
- MedStar Health (US)
- School of Medicine, University of California, San Francisco, San Francisco, California (J.A.)
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 2020-06-02
- Volume
- 172
- Issue
- 11_Supplement
- Pages
- S116-S122
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- PMC
- PMC8061456
- OpenAlex
- W3028609544
- Cited by
- 105
- References
- 34
- Citations by year
- 2026: 26 · 2025: 21 · 2024: 15 · 2023: 15 · 2022: 13 · 2021: 11 · 2020: 4
- FWCI
- 1.64
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annals of Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (UL1TR001414)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Nursing › Issues, ethics and legal aspects › Nursing Diagnosis and Documentation
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Keywords
- clinical workflow, electronic health records, workarounds, health system performance, EHR design, clinical process improvement
- MeSH terms
- Delivery of Health Care, Humans, Workflow, Electronic Health Records, Quality Improvement
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