Enhancing pharmacist intervention targeting based on patient clustering with unsupervised machine learning
Pharmacists can target publicly insured elderly (Groups B and E) and privately insured middle-aged females (Group C) for interventions. For instance, pharmacists may help patients in Groups B and E locate existing resources in their insurance program and remind those in Group C of the importance of adequate diabetes care.
Authors
- Chi Chun Steve Tsang (ORCID: https://orcid.org/0000-0002-9748-0666)
- Junling Wang (ORCID: https://orcid.org/0000-0003-3929-6227)
Institutions
- University of Tennessee Health Science Center (US)
Publication Details
- Journal
- Expert Review of Pharmacoeconomics & Outcomes Research
- Published
- 2024-09-23
- DOI
- https://doi.org/10.1080/14737167.2024.2406810
- Primary Topic
- Pharmacy and Medical Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Institute on Aging