Design and development of a machine-learning-driven opioid overdose risk prediction tool integrated in electronic health records in primary care settings
The final backend process for our CDS alert aligns with PCP needs and UFHealth standards. Integrating feedback from PCPs in the early development phase of our ML-driven CDS tool helped identify barriers and facilitators in the CDS integration process. This collaborative approach yielded a refined prototype aimed at minimizing unintended consequences and enhancing usability.
Authors
- Courtney C. Kuza (ORCID: https://orcid.org/0000-0001-9137-0928)
- Yonghui Wu (ORCID: https://orcid.org/0000-0002-6780-6135)
- Motomori O. Lewis (ORCID: https://orcid.org/0000-0001-5533-0830)
- Christopher A. Harle (ORCID: https://orcid.org/0000-0002-4803-3632)
- Walid F. Gellad (ORCID: https://orcid.org/0000-0002-6992-5197)
- Khoa A. Nguyen (ORCID: https://orcid.org/0000-0002-0096-0293)
- Debbie L. Wilson (ORCID: https://orcid.org/0000-0002-1640-5497)
- Jiang Bian (ORCID: https://orcid.org/0000-0002-2238-5429)
- Adam J. Gordon (ORCID: https://orcid.org/0000-0002-2453-8871)
- Wei‐Hsuan Lo‐Ciganic (ORCID: https://orcid.org/0000-0001-6590-4770)
- Bradley R. Hall (ORCID: https://orcid.org/0000-0002-1627-3340)
- Siegfried Schmidt (ORCID: https://orcid.org/0000-0001-5941-6009)
- Seonkyeong Yang (ORCID: https://orcid.org/0000-0002-5198-8544)
- Laura G. Militello (ORCID: https://orcid.org/0000-0001-8445-5640)
- Eric I. Rosenberg (ORCID: https://orcid.org/0000-0002-5396-0422)
- Xing He (ORCID: https://orcid.org/0000-0003-0290-8058)
- Julie Diiulio (ORCID: https://orcid.org/0000-0002-5791-0705)
- Danielle Nelson
- Stephanie A. S. Staras (ORCID: https://orcid.org/0000-0002-0726-1524)
- Jerry Cochran
Institutions
- Regenstrief Institute (US)
- University of Pittsburgh (US)
- University of Utah (US)
- University of Florida (US)
- VA Salt Lake City Healthcare System (US)
- Geriatric Research Education and Clinical Center (US)
- North Florida/South Georgia Veterans Health System (US)
- Applied Decision Science (United States) (US)
- VA Pittsburgh Healthcare System (US)
- Indiana University Indianapolis (US)
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Journal
- Bioelectronic Medicine
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1186/s42234-024-00156-3
- Citations
- 6
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.08
Funders
- National Institutes of Health
- National Institute on Drug Abuse