Identifying patients at risk of suicide using data from health information exchanges
Real-world data from the diverse clinical settings captured in an HIE may provide unprecedented opportunities to predict suicidal behavior.
Authors
- Robert H. Aseltine (ORCID: https://orcid.org/0000-0003-3007-9867)
- Shane J. Sacco (ORCID: https://orcid.org/0000-0003-4920-8219)
- Kun Chen (ORCID: https://orcid.org/0000-0003-3579-5467)
- Fei Wang (ORCID: https://orcid.org/0000-0001-9459-9461)
- Bin Tang (ORCID: https://orcid.org/0000-0002-1762-3883)
- Jun Jin
Institutions
- University of Connecticut (US)
- Cornell University (US)
- Weill Cornell Medicine (US)
- UConn Health (US)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-04-29
- DOI
- https://doi.org/10.1186/s12889-025-22752-x
- Citations
- 1
- Primary Topic
- Suicide and Self-Harm Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.31
Funders
- National Institute of Mental Health