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AI assistant aims to cut doctor burnout by drafting handoff notes

NCT ID NCT07251907

Knowledge-focused Sponsor: University of Pennsylvania Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tested whether an AI tool could help hospital doctors write end-of-rotation handoff notes faster and with less stress. 85 doctors were randomly assigned to use the AI draft feature or not. Researchers measured time spent on notes and feelings of burnout.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
AI tool to draft handoff notes
What this could lead to
If it works, this could reduce the time doctors spend on paperwork and lower burnout.
What could go wrong
This is a small, early study focused on workflow, not patient health. The AI may not save time or could introduce errors if not carefully reviewed.

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

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

85 people

The number who actually took part.

Started

Dec 2025

Finished

May 2026

Lead sponsor

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

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * General medicine attending physicians at HUP (Medicine, Solid Oncology) or PPMC (Medicine) services. * Scheduled for ≥5 consecutive days on service. Exclusion Criteria: \- Jeopardy attendings and moonlighters

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Artificial intelligence (AI) Electronic medical record Large language model Physician workflow Transitions of care

Contacts and locations

Locations

  • Hospital of the University of Pennsylvania and Penn Presbyterian Medical Center

    Philadelphia, Pennsylvania, 19104, United States

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