Course contents

A Primer on AI in Pharmacy

Pharmacists

Pharmaceutical Technology

This course provides an introduction to the evolving role of artificial intelligence (AI) in pharmacy and healthcare. Designed for pharmacy professionals and healthcare providers, it explores the transformation of pharmacy practice through digitalization and the emergence of AI-powered tools. The course begins by defining key AI concepts, including machine learning, natural language processing, large language models, and AI agents, with practical examples from modern pharmacy settings. Learners will understand how AI is applied in clinical decision-making, medication adherence monitoring, inventory management, patient engagement, and chronic disease support. Ethical and regulatory considerations are also discussed, including bias, data privacy, explainability, and the need for responsible implementation. Special attention is given to real-world pharmacy use cases such as automated prescription validation, drug-drug interaction alerts, predictive analytics, and AI-guided therapy optimization. Finally, the course addresses current gaps in AI training within pharmacy education and outlines strategies for evaluating AI tools for clinical integration. 
 English (original audio)
  Pharmacists
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Why should I take this course?

  • Understand how AI is transforming pharmacy practice and what it means for your role as a healthcare professional
  • Learn how to evaluate and apply AI tools responsibly in clinical and operational settings
  • Prepare yourself and your team for the digital transformation of healthcare with up-to-date, practical knowledge on AI concepts and pharmacy-specific applications

Course Lessons

Meet your instructor

Dr. Timothy Aungst

Timothy Aungst, PharmD, is a professor of pharmacy practice and clinical pharmacist. He is clinically trained in ambulatory care, with a focus on cardiology and cardiometabolic conditions, alongside geriatric care. For the past decade, Timothy has focused upon the role of technology within clinical care. This has included the evaluation of mobile medical applications and constructing frameworks to identify clinically relevant mobile health tools. This has included evaluating over 2000+ mobile apps and related digital health products and serving as a mentor and judge for the MIT hacking medicine program. By combining his clinical knowledge with his digital health knowledge, he has become a leading subject matter expert on integrating smart medications, digital therapeutics, digital medicines, and remote patient monitoring, and digitalizing patient care. He has served in multiple digital health advisory roles related to clinical decision-making and payor coverage. He is a current advisor for the digital therapeutics alliance and aids the digital medicine society. Lastly, bridging his experience as an educator, he is leading committees within the American Pharmacist Association and the American Association of Colleges of Pharmacy to create standards of digital health care for current and future learners and the creation of certificates and training modules to get the pharmacy profession ready for the era of digital health care.