ADAPT — making suicide risk checks work across hospitals
Exploratory Research Project - ADAPT
['FUNDING_OTHER'] · UNIV OF MASSACHUSETTS MED SCH WORCESTER · NIH-11324924
This project adapts a machine-learning tool so hospitals can use medical record data to better find patients at risk of suicide.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIV OF MASSACHUSETTS MED SCH WORCESTER (nih funded) |
| Locations | 1 site (WORCESTER, UNITED STATES) |
| Trial ID | NIH-11324924 on ClinicalTrials.gov |
What this research studies
This project takes an existing suicide-risk algorithm developed in one health system and tests ways to make it work well in other hospitals using electronic health records (EHRs). The team will build an automated ADAPT pipeline that translates, recalibrates, and retrains the model so it fits different EHR formats and patient populations. Large-scale EHR data and machine learning methods will be used to monitor performance, reduce errors, and make the tool usable by non-expert clinical teams. The goal is a practical, transferable tool clinicians can use to help identify patients who need further suicidal-risk care.
Who could benefit from this research
Good fit: Ideal candidates are people whose electronic health records are included in the participating health systems, particularly patients with mood disorders or prior suicidal thoughts or behaviors.
Not a fit: Patients whose medical records are not part of the participating EHR systems or who lack sufficient digital health data are unlikely to see direct benefit from this project.
Why it matters
Potential benefit: If successful, more patients at risk for suicide could be identified earlier across different hospitals so they receive timely follow-up and support.
How similar studies have performed: Previous machine-learning suicide-risk tools have shown promising accuracy within single health systems but often performed poorly when transferred to new hospitals, so this project aims to solve that gap.
Where this research is happening
WORCESTER, UNITED STATES
- UNIV OF MASSACHUSETTS MED SCH WORCESTER — WORCESTER, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: LIU, FEIFAN — UNIV OF MASSACHUSETTS MED SCH WORCESTER
- Study coordinator: LIU, FEIFAN
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions: Affective Disorders