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AI helps doctors write faster, but is it good enough?

NCT ID NCT07187050

Knowledge-focused Sponsor: Kyoto University, Graduate School of Medicine 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 26, 2026

Summary

This pilot study tested whether an AI writing assistant (CocktailAI) could help doctors complete hospital discharge summaries and referrals faster while maintaining quality. Twenty-one ophthalmologists from Kyoto University Hospital wrote documents for six simulated patient cases, either using the AI to generate a first draft or writing from scratch. The study measured time and expert-rated quality to see if the AI approach is a practical tool for reducing paperwork burden.

What this could mean

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

Active substance
CocktailAI (template-based LLM assistant)
What this could lead to
If successful, this could show that AI can help doctors complete paperwork faster without sacrificing quality, potentially reducing burnout.
What could go wrong
This is a very small pilot (21 participants) using simulated patient records, not real patients. Results may not apply to real hospital settings or other medical fields.

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

21 people

The number who actually took part.

Started

Feb 2025

Finished

Jul 2025

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

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: * Ophthalmologists at Kyoto University Hospital * Junior residents, senior residents, graduate students, board-certified ophthalmologists * Physicians who confirm that they do not routinely use CocktailAI for clinical documentation and provide informed consent after receiving an explanation of the study.

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As listed by the trial registrant

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

Clinical documentation Clinician-in-the-loop Large language model

Contacts and locations

Locations

  • Department of Ophthalmology and Visual Sciences Kyoto University Graduate School of Medicine 54 Shogoin, Kawahara, Sakyo

    Kyoto, 606-8507, Japan

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