AI assistant aims to ease doctor burnout by summarizing charts
NCT ID NCT07438743
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests whether an artificial intelligence tool can help doctors spend less time and mental effort reviewing patient charts before appointments. About 284 doctors at UCLA will either use the AI tool or continue their usual routine for 90 days. The goal is to see if the tool reduces workload and improves efficiency, without involving any patient data collection.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Phase
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Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
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About 284 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Feb 2026
- Expected to finish
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May 2026
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Ambulatory care providers within the UCLA Health system including physicians and advanced practice providers (APPs), such as nurse practitioners and physician assistants with at least one half-day clinic session per week. * Providers complete baseline pre-survey Exclusion Criteria: • Trainee providers (e.g., residents, medical students), and psychologists
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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University of California, Los Angeles
Los Angeles, California, 90095, United States
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