AI SNF Discharge Quality Improvement Project

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

Status

Not yet recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT07746648

Acronym

AI SNF

Enrollment

Registered

2026-08-05

Start date

2026-09-01

Completion date

2027-03-01

Last updated

2026-08-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Skilled Nursing Facility Patients

Brief 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 AI-generated summaries of the history and physical note to provide relevant clinical context. The control condition hides the column value.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

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

Design outcomes

Primary

Measure	Time frame
Length of hospital stay	Up to Approximately Month 5

Countries

United States

Contacts

CONTACTSarah Tsuruo

Sarah.Tsuruo@nyulangone.org914-815-4079

CONTACTHolly Krelle

Holly.Krelle@nyulangone.org347-200-1108

PRINCIPAL_INVESTIGATORHolly Krelle

NYU Langone Health

Outcome results