The impact of electronic health record–integrated patient-generated health data on clinician burnout
Open accessAbstract
Patient-generated health data (PGHD), such as patient-reported outcomes and mobile health data, have been increasingly used to improve health care delivery and outcomes. Integrating PGHD into electronic health records (EHRs) further expands the capacities to monitor patients’ health status without requiring office visits or hospitalizations. By reviewing and discussing PGHD with patients remotely, clinicians could address the clinical issues efficiently outside of clinical settings. However, EHR-integrated PGHD may create a burden for clinicians, leading to burnout. This study aims to investigate how interactions with EHR-integrated PGHD may result in clinician burnout. We identify the potential contributing factors to clinician burnout using a modified FITT (Fit between Individuals, Task and Technology) framework. We found that technostress, time pressure, and workflow-related issues need to be addressed to accelerate the integration of PGHD into clinical care. The roles of artificial intelligence, algorithm-based clinical decision support, visualization format, human-computer interaction mechanism, workflow optimization, and financial reimbursement in reducing burnout are highlighted.
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Research has shown that management of patient-generated data can contribute to physician burnout.
“research has shown that management of this type of patient-generated data can contribute to physician burnout.22”
From Challenges and Facilitators in Implementing Remote Patient Monitoring Programs in Primary Care (2024) · cites this paper as [22]
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Self-citationArtificial intelligence and digital health in Anesthesiology
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Self-citationRecent Developments in Workflow Research in Healthcare
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Assessing the Impact of Electronic Health Records on Health Services
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Opportunities and Challenges of Integrating Food Practice into Clinical Decision-Making
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- Authors
- Ye, J.
- Affiliations
- Northwestern University (US)
- Corresponding author
- Ye, Jiancheng
- ORCID
- Ye, Jiancheng
- Venue
- Journal of the American Medical Informatics Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-04-02
- Volume
- 28
- Issue
- 5
- Pages
- 1051-1056
- ISSN
- 1067-5027 (ISSN-L)
- 1527-974X
- PMC
- PMC8068436
- OpenAlex
- W3144479413
- Cited by
- 80
- References
- 57
- Citations by year
- 2026: 12 · 2025: 17 · 2024: 15 · 2023: 12 · 2022: 16 · 2021: 8
- FWCI
- 11.11
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Journal of the American Medical Informatics Association (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Social Sciences › Psychology › Social Psychology › Technostress in Professional Settings
- Health Sciences › Health Professions › General Health Professions › Healthcare professionals’ stress and burnout
- Keywords
- patient-generated health data, electronic health records, clinician burnout, technostress, time pressure, clinical workflow, mobile health, patient-reported outcomes, clinical decision support, artificial intelligence, visualization, human-computer interaction, reimbursement
- MeSH terms
- Patient Generated Health Data, Artificial Intelligence, Burnout, Professional, Humans, User-Computer Interface, Workload, Telemedicine, Systems Integration, Workflow, Electronic Health Records
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