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The Digital Workload Divide: Investigating Gender Differences in Electronic Health Record Messaging among Primary
Julianne Scholes1, Lauren Schiff1, Alicia Jacobs1,2
1The Robert Larner College of Medicine at the University of Vermont, Burlington, Vermont, United States.
Female clinicians face a greater electronic health record (EHR) messaging burden, receiving more messages and spending more time managing them. This disparity, driven by patient demographics, contributes to burnout risk and requires workflow optimization for equitable primary care.
Area of Science:
- Health Informatics
- Primary Care Medicine
- Gender Studies in Healthcare
Background:
- Electronic health record (EHR) patient portals enhance patient-clinician communication and access to primary care.
- However, EHR messaging increases clinician workload, with a notable disparity observed between genders.
Purpose of the Study:
- To investigate the factors contributing to gender-based disparities in EHR messaging workload among primary care clinicians.
- To analyze the impact of patient demographics and panel complexity on this messaging burden.
Main Methods:
- Retrospective analysis of EHR messages sent to 267 primary care clinicians at the University of Vermont Health Network (UVMHN).
- Statistical analysis of message volume, content (medical advice requests), and clinician time spent managing messages.
- Evaluation of patient demographics and panel complexity in relation to clinician gender.
Main Results:
- Female clinicians received significantly more patient-initiated medical advice requests (68.28 vs. 49.22 messages/month) and spent more time managing messages (1.85 vs. 1.35 minutes/day) than male clinicians.
- Female patients generated more messages (59 vs. 52 messages/female vs. male), correlating with female clinicians managing higher volumes.
- Panel size and complexity were similar between genders, indicating patient communication behavior as the primary driver of disparity.
Conclusions:
- Female primary care clinicians experience an unequal EHR messaging burden, primarily due to patient demographics and communication behaviors.
- This disparity contributes to an increased risk of burnout among female clinicians.
- Workflow optimization and AI-driven triage systems are recommended to mitigate this imbalance and promote equity.
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