Leveraging Natural Language Processing to Identify Veterans Who Inject Drugs to Assess Preexposure Prophylaxis and Sexually Transmitted Infection Testing Services at the Veterans Health Administration
The NLP dashboard efficiently identified PWID within an extensive health care system, revealing significant gaps in preventive care delivery despite high engagement with mental health services. Findings suggest opportunities to leverage existing therapeutic relationships while enhancing collaboration among mental health, social work, and infectious disease services to improve care for this vulnerable population.
Authors
- C. M. O’Connor
- Karine Rozenberg‐Ben‐Dror (ORCID: https://orcid.org/0000-0002-4056-0737)
- Minh Q Ho (ORCID: https://orcid.org/0000-0001-7509-6156)
- Karen Slazinski
- Mohamed Ahmed (ORCID: https://orcid.org/0000-0001-6890-184X)
Institutions
- University of Central Florida (US)
- Orlando Health (US)
- VA Great Lakes Health Care System (US)
- Orlando VA Medical Center (US)
- Florida College (US)
Publication Details
- Journal
- Open Forum Infectious Diseases
- Published
- 2025-03-05
- DOI
- https://doi.org/10.1093/ofid/ofaf113
- Primary Topic
- Ethics in Clinical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00