Commentary
Open access
Published: 18 September 2026
Artificial Intelligence Decision Support in Hospital Pharmacy Practice: Ethical Considerations, Algorithmic Bias, and Regulatory Mandates
Prof. Alexander M. Wright, PharmD, PhD; Katherine B. Sterling, JD, MS
Abstract
A critical perspective on artificial intelligence deployment in medication management, emphasizing algorithmic bias, validation protocols, regulatory landscape, and the indispensable role of human clinical pharmacist oversight.
Abstract
As machine learning and large language models become integrated into hospital electronic health record systems for clinical decision support, drug interaction checks, and automated dosing recommendations, health systems face emergent challenges in accountability, algorithmic transparency, and clinical validation. This commentary outlines vital governance frameworks for clinical pharmacy leadership to safeguard patient care.
- DOI
- 10.1007/s11096-026-01829-8
- Volume / Issue
-
Volume 1, Issue 1 — Pages 82-89
- Published
- 18 September 2026
- Journal
- International Journal of Clinical Pharmacy and Medicine (IJCPM)