Beyond Dispensing: AI Empowering Clinical Pharmacist
Year: 2025
Type: article
Abstract: The integration of artificial intelligence (AI) into clinical pharmacy marks a transformative shift from traditional dispensing roles toward proactive, patient-centered care. This article explores how AI technologies—particularly natural language processing (NLP), machine learning (ML), and deep learning (DL)—can enhance pharmacists’ ability to manage complex pharmacotherapy, improve medication safety, and personalize treatment. With aging populations and rising multimorbidity, clinical pharmacists face increasing challenges in polypharmacy, adverse drug events (ADEs), and therapeutic optimization. AI-powered tools such as clinical decision support systems (CDSS), predictive analytics, and pharmacogenomic modeling offer scalable solutions to these issues by enabling early risk detection, regimen simplification, and real-time decision-making. The review highlights AI’s role in telepharmacy, antimicrobial stewardship, diabetes care, and patient engagement, emphasizing its potential to automate routine tasks while preserving human judgment for nuanced decisions. Ethical, legal, and professional considerations—including data privacy, bias mitigation, and accountability—are addressed to ensure responsible implementation. Ultimately, AI is positioned not as a replacement but as a force multiplier that empowers pharmacists to deliver safer, more efficient, and personalized care.
Author: Darshana Sunil Nagmoti1, Khode Aniket Prakash*2, Netra Nitin Marathe3, Harsh Santosh Jadhav4, Tanuja Wankhede5
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7090173398
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