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AI SNF Discharge Quality Improvement Project

NCT07746648 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 30

Last updated 2026-08-05

No results posted yet for this study

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.

Conditions

  • Skilled Nursing Facility Patients

Sponsors & Collaborators

Principal Investigators

  • Holly Krelle · NYU Langone Health

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-09-30
Primary Completion
2026-09-30
Completion
2027-03-31

Countries

  • United States

Study Locations

More Related Trials

Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07746648 on ClinicalTrials.gov