AI SNF Discharge Quality Improvement Project
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Skilled Nursing Facility Patients. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- United States
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Artificial Intelligence (AI) Skilled Nursing Facilities (SNF) Discharge QI Project
Overview
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.
Primary outcome measures
- Length of hospital stay [Time frame: Up to Approximately Month 5]
Eligibility criteria
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
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
United States · 1 center
- NYU Langone Health — New York
Identifiers
NCT: NCT07746648 · QI-AI SNF