Using computer programs to help predict hospital readmission for people with psychosis
Modeling Temporality with Natural Language Processing to Predict Readmission Risk of Patients with Psychosis
['FUNDING_R01'] · BOSTON CHILDREN'S HOSPITAL · NIH-11099741
This project aims to create smart computer tools that can look at patient health records to help predict which patients with psychosis might need to return to the hospital soon after discharge.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | BOSTON CHILDREN'S HOSPITAL (nih funded) |
| Locations | 1 site (BOSTON, UNITED STATES) |
| Trial ID | NIH-11099741 on ClinicalTrials.gov |
What this research studies
Many patients with psychosis are readmitted to the hospital shortly after leaving, which can be upsetting and costly for families. This project is developing new computer programs that can understand the timing of events and health changes described in electronic health records. By analyzing this information, these programs hope to identify patients at higher risk of readmission. The goal is to help doctors and care teams provide extra support to those who need it most, potentially reducing unplanned hospital stays.
Who could benefit from this research
Good fit: This research focuses on improving care for psychiatric inpatients with psychosis who are at risk of hospital readmission.
Not a fit: Patients without a diagnosis of psychosis or those not at risk for psychiatric hospital readmission would not directly benefit from this specific prediction tool.
Why it matters
Potential benefit: If successful, this work could help healthcare providers identify patients with psychosis at high risk of readmission, allowing for targeted support and interventions to prevent future hospitalizations.
How similar studies have performed: While machine learning and natural language processing are increasingly used in healthcare, specific psychiatry-focused tools that deeply incorporate the timing of events from clinical text to predict readmission are still being developed.
Where this research is happening
BOSTON, UNITED STATES
- BOSTON CHILDREN'S HOSPITAL — BOSTON, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: MILLER, TIMOTHY A — BOSTON CHILDREN'S HOSPITAL
- Study coordinator: MILLER, TIMOTHY A
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.