AzTrials
AzTrials

Skilled Nursing Facility PatientsAI SNFNCT07746648

AI SNF Discharge Quality Improvement Project

An observational study of Skilled Nursing Facility Patients, run by NYU Langone Health at 1 site in United States.

Not yet recruiting

Opening soon. The study is approved but enrolment has not started yet. Sites may already take enquiries.

Sites and contacts
Official record
Search all trials

Trial summary

This study evaluates an AI-supported workflow tool designed to improve discharge planning for hospitalized medicine patients discharged to skilled nursing facilities (SNFs). The intervention displays a patient list column showing SNF discharge risk as High, Intermediate, or Low, along with a hover bubble containing… Read more about this study

Who is it for?
Ages 18 years and older
Conditions the study is for
Skilled Nursing Facility Patients
How many people
30 participants
Where
1 siteUnited States
Study dates
Sep 2026to Mar 2027
Phase
Observational
Are there results?
Not yet: the study is under way

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 years and older
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Study population: Medicine inpatient admissions discharged to skilled nursing facilities

Who may be able to join

  • Adult medicine inpatient admission
  • Discharged to a skilled nursing facility
  • Admission occurs during the study period

Who cannot join

  • 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

Trial locations and contacts

1 site in 1 country. Contact the study team or a site near you to ask about taking part.

United States1 site
  • NYU Langone Health

    New York, New York, 10016

Other trials in United States

About this study

Official title: Artificial Intelligence (AI) Skilled Nursing Facilities (SNF) Discharge QI Project

This study evaluates an AI-supported workflow tool designed to improve discharge planning for hospitalized medicine patients discharged to skilled nursing facilities (SNFs). The intervention displays a patient list column showing SNF discharge risk as High, Intermediate, or Low, along with a hover bubble containing AI-generated summaries of the history and physical note to provide relevant clinical context. The control condition hides the column value.

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

Study groups in NCT07746648
Study groupRoleWhat they receive
Usual CareAdult inpatients discharged to a SNF with a column that displays SNF discharge risk and provides AI-generated clinical summary information to support discharge planning.
AI SNF discharge risk displayThe SNF discharge risk column value is hidden from end users.

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Length of hospital stay

    Measured: Up to Approximately Month 5

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted5 Aug 2026
  2. Study startSep 2026 (estimated)
  3. Primary completionSep 2026 (estimated)
  4. Study completionMar 2027 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Prospective
Enrolment
30 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT07746648
Sponsor's protocol ID
QI-AI SNF
Acronym
AI SNF
Status last verified
Jul 2026
First submitted
31 Jul 2026
Last updated
5 Aug 2026
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No: Individual participant data will not be made available to other researchers at this time.

Questions about this trial

What is this clinical trial studying?

An observational study of Skilled Nursing Facility Patients, run by NYU Langone Health at 1 site in United States.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 3 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: opening soon, as of the sponsor's last update on 5 Aug 2026. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

This study is still under way. Results are not available in the source record yet.

How can a doctor refer a patient or contact the research team?

Contact Sarah Tsuruo (914-815-4079, Sarah.Tsuruo@nyulangone.org), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Length of hospital stay (time frame: Up to Approximately Month 5). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 5 Aug 2026.

Free account

Keep searching with a free account

You’ve used your 3 free searches for this session. Log in or create a free AzTrials account to keep searching clinical trials and save the ones you want to follow.

Create a free accountLog in