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AI assistant could slash doctor paperwork and ease burnout

NCT ID NCT07498582

Knowledge-focused Sponsor: University of North Carolina, Chapel Hill 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested whether an AI tool called Evidently could help outpatient doctors spend less time reviewing medical records and documenting care. 128 doctors from the University of North Carolina were randomly assigned to use the tool or continue their usual routine for eight weeks. The goal was to see if the AI could reduce workload and burnout, but the study did not involve patients or change medical care.

What this could mean

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

Active substance
AI Clinical Summarization Tool (Evidently)
What this could lead to
If successful, this could show that AI tools help doctors work more efficiently and feel less overwhelmed.
What could go wrong
This is a small, early-stage study with only 128 doctors at one university. The tool may not work for all specialties or reduce burnout as hoped.

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

128 people

The number who actually took part.

Started

Mar 2026

Finished

Jun 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

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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: Participants must meet all of the following criteria: * Attending outpatient specialists affiliated with UNCFP or UNCMG. * At least two half-days (≥3.5 hours per session) of scheduled outpatient clinic per week. * Primary specialty in an outpatient, patient-facing specialty practice within UNCFP or UNCMG. Anesthesiologists will be enrolled under the same protocol but analyzed separately due to distinct workflow characteristics. Exclusion Criteria: Clinicians meeting any of the following criteria will be excluded: * Trainees (e.g., residents or fellows). * Advanced practice providers (APPs). * Attendings whose outpatient workflows are predominantly supervisory or shared with trainees or APPs, defined as clinicians who self-report that 25% or more of outpatient clinic sessions are conducted jointly with trainees or APPs. * Clinicians who participated in a prior Evidently pilot study. * Clinicians with planned time away exceeding one week during the study period. Exclusion criteria will be assessed using self-report in the baseline survey, supplemented by administrative records where available (e.g., prior pilot participation or clinic volume). Clinicians meeting any exclusion criterion will not be randomized.

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Conditions

The condition(s) this trial relates to.

Burnout, Psychological

As listed by the trial registrant

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

Burnout, healthcare workers Clinical workflow optimization Electronic health records Health information technology

Contacts and locations

Locations

  • UNC Health

    Chapel Hill, North Carolina, 27599, United States

More trials for these conditions

Other studies related to the condition(s) this trial covers.