AI Tool to Reduce Clinician Documentation Burden

Part of paid clinical trials in Chapel Hill, North Carolina.

Sponsor
University of North Carolina, Chapel Hill
Study ID
NCT07498582
Status
Enrolling By Invitation

Conditions

  • Burnout, Healthcare Workers
  • Clinical Workflow Optimization
  • Electronic Health Records
  • Health Information Technology

Eligibility Criteria

Sex
ALL
Age
N/A - N/A
Healthy Volunteers
Accepted

Interventions

  • AI Clinical Summarization Tool (Evidently) — BEHAVIORAL
    Clinicians randomized to the intervention arm will receive access to the AI clinical summarization tool following randomization and completion of baseline study procedures. Clinicians randomized to the control arm will continue usual chart review and documentation practices for the duration of the study. Participation in the study and use of the AI clinical summarization tool are voluntary. Clinicians assigned to the intervention arm are not required to use the tool as part of routine care. Use of the AI clinical summarization tool will be characterized using system-generated utilization metrics provided by the vendor. These metrics may include measures such as the number of sessions (i.e., the number of times the tool is invoked), the number of patients for whom the tool is used, and, where available, the number of customized summaries generated. All utilization measures will be aggregated at the clinician level over the study period.

Study Details

This study looks at whether a clinician-facing artificial intelligence (AI) tool can help outpatient doctors spend less time reviewing medical records and documenting care. The tool creates brief summaries of existing medical record information to support routine clinical work. This study examines how use of this tool affects clinicians' workload, time spent in the electronic health record, and overall experience with documentation. The goal is to better understand whether AI documentation support tools can improve efficiency and reduce burden for clinicians in outpatient specialty practice. Eligible UNC outpatient specialists may be invited to complete surveys and, if they qualify, are randomly assigned either to receive access to the tool (Evidently) at the beginning of the study period or to continue their usual workflow for eight weeks before receiving access. The study does not recruit patients and does not change medical care for patients.

Key Dates

Start date
Mar 30, 2026
Status verified
Mar 2026
Primary completion
Jun 30, 2026
Completion
Jun 30, 2026

Study Design

Enrollment
150 participants (estimated)
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH

Arms

  • Experimental: Experimental: Evidently
    Clinicians randomized to the intervention arm will receive access to a clinician-facing AI clinical summarization tool (Evidently) integrated into routine clinical workflow. The intervention includes standardized onboarding and training materials (e.g., an onboarding webinar or equivalent asynchronous training, tip sheets, and on-demand implementation support). Optional personalization may be available to clinicians but is not required for participation in the study.
  • No Intervention: No Intervention: Control
    Clinicians randomized to the control arm will continue usual chart review and documentation practices without access to the AI clinical summarization tool during the study period.

Primary Outcome Measure

Change in Clinician Cognitive Load [ Time Frame: Baseline to end of Study Month 2 ]

Locations (1)

FacilityCityStateZIPSite coordinators
UNC HealthChapel HillNorth Carolina27599-

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By research site
UNC Health· Chapel Hill, NC

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