AI Tool to Reduce Clinician Documentation Burden

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.

NCT Number	NCT07498582
Lead Sponsor	University of North Carolina, Chapel Hill
Conditions	Burnout, Healthcare Workers, Clinical Workflow Optimization, Health Information Technology, Electronic Health Records
Enrollment	128 participants
Start Date	2026-03-30
Primary Completion	2026-06-08 (estimated)
Study Completion	2026-06-08 (estimated)
Updated on ClinicalTrials.gov	2026-06-26