Predicting pharmacy choice for managed care network design.

Saved in:
Bibliographic Details
Title: Predicting pharmacy choice for managed care network design.
Authors: Irungu M; Health Informatics and Bioinformatics, Department of Information Sciences and Technologies, College of Computing, Grand Valley State University, Grand Rapids, MI., Sawesi S; Health Informatics and Bioinformatics, Department of Information Sciences and Technologies, College of Computing, Grand Valley State University, Grand Rapids, MI., Rashrash M; College of Health Sciences and Pharmacy, Chicago State University, IL., Presingu P; Health Informatics and Bioinformatics, Department of Information Sciences and Technologies, College of Computing, Grand Valley State University, Grand Rapids, MI., Kane K; Health Informatics and Bioinformatics, Department of Information Sciences and Technologies, College of Computing, Grand Valley State University, Grand Rapids, MI., Schommer J; Department of Pharmaceutical Care & Health Systems, College of Pharmacy, University of Minnesota, Minneapolis., Brown L; Department of Pharmaceutical Economics and Policy, Chapman University School of Pharmacy, Irvine, CA.
Source: Journal of managed care & specialty pharmacy [J Manag Care Spec Pharm] 2026 Jun; Vol. 32 (6), pp. 679-690.
Publication Type: Journal Article
Journal Info: Publisher: Academy of Managed Care Pharmacy Country of Publication: United States NLM ID: 101644425 Publication Model: Print Cited Medium: Internet ISSN: 2376-1032 (Electronic) Linking ISSN: 23760540 NLM ISO Abbreviation: J Manag Care Spec Pharm Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2376-1032
DOI:10.18553/jmcp.2026.32.6.679