Development and Validation of an Electronic Health Record–Based Algorithm for Identifying Patients With Long-Term Opioid Therapy: Cross-Sectional Study
The EHR-based LTOT algorithm showed comparable accuracy to the claims-based reference and may support risk stratification and inform decision-making during clinical encounters.
Authors
- Amie J. Goodin (ORCID: https://orcid.org/0000-0002-0020-8720)
- Debbie L. Wilson (ORCID: https://orcid.org/0000-0002-1640-5497)
- Jiang Bian (ORCID: https://orcid.org/0000-0002-2238-5429)
- Tianze Jiao (ORCID: https://orcid.org/0000-0002-2608-616X)
- Jingchuan Guo (ORCID: https://orcid.org/0000-0001-9799-2592)
- Shu Huang (ORCID: https://orcid.org/0000-0003-2825-9180)
- Jie Xu (ORCID: https://orcid.org/0000-0001-5291-5198)
- Jill A. Fairless (ORCID: https://orcid.org/0000-0002-9732-6781)
Institutions
- Regenstrief Institute (US)
- UF Health Shands Hospital (US)
- University of Florida (US)
- Indiana University Indianapolis (US)
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-11-22
- DOI
- https://doi.org/10.2196/76999
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00