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Can AI help patients leave the hospital sooner?

NCT ID NCT07746648

Knowledge-focused Sponsor: NYU Langone Health 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 This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Aug 05, 2026 · Last updated Aug 06, 2026 · Updated 1 time

Summary

This study tests an AI-powered tool designed to help doctors plan discharges for hospitalized patients who are going to skilled nursing facilities. The tool shows a risk level (high, intermediate, or low) and provides AI-generated summaries of medical notes to give context. The goal is to see if this tool can shorten hospital stays. The study involves 30 adult patients admitted to a medicine service and discharged to a skilled nursing facility.

What this could mean

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

Active substance
AI-supported workflow tool that displays discharge risk levels and clinical summaries
What this could lead to
If effective, this AI tool could help hospitals streamline discharge planning, potentially reducing hospital stays and improving care transitions for patients moving to skilled nursing facilities.
What could go wrong
This is a small, early-stage study with only 30 participants, so results may not apply broadly. The tool's impact on actual discharge outcomes is uncertain, and there may be implementation challenges.

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.

Participants

About 30 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Sep 2026

An estimate. Start dates often move.

Expected to finish

Mar 2027

An estimate. End dates often move.

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.

Who is studied

Medicine inpatient admissions discharged to skilled nursing facilities

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: * Adult medicine inpatient admission * Discharged to a skilled nursing facility * Admission occurs during the study period Exclusion Criteria: * Age younger than 18 years * Not admitted to a medicine inpatient service * Not discharged to a skilled nursing facility * Admission occurs outside the study period

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As listed by the trial registrant

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

Skilled nursing facility patients

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • NYU Langone Health

    New York, New York, 10016, United States