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AI in Pharmacy Practice: Opportunities and Challenges
- Introduction to AI, machine learning, generative AI, and predictive analytics in pharmacy
- Current and potential AI applications across pharmacy practice
- AI-assisted medication review and clinical decision support
- Workflow automation, documentation, and operational efficiency
- Data quality, privacy, security, bias, and transparency
- Validation, monitoring, human oversight, and professional accountability
- Practical framework for evaluating AI-enabled pharmacy tools
Overview of the webinar
Artificial intelligence is moving from an emerging technology to a practical tool with potential applications across community, hospital, clinical, and specialty pharmacy. This webinar introduces the role of AI in pharmacy practice and examines how technologies such as machine learning, natural-language processing, predictive analytics, and generative AI may support pharmacists and pharmacy teams. The discussion will focus on practical use cases including medication review, clinical decision support, identification of medication-related risks, workflow optimization, documentation, patient communication, and analysis of pharmacy data.
The session will also examine the challenges associated with implementing AI in professional practice. These include inaccurate or incomplete outputs, algorithmic bias, data privacy and security, interoperability, explainability, validation, workflow integration, and the risk of over-reliance on automated recommendations. Participants will explore the importance of pharmacist oversight and the need to balance efficiency with clinical judgment and patient-centered care.
By the end of the session, attendees will have a structured framework for assessing AI opportunities in pharmacy, identifying potential risks, and considering how AI can be introduced responsibly while maintaining professional standards and patient safety.
Who should attend?
- Clinical Pharmacist
- Hospital Pharmacist
- Community Pharmacist
- Pharmacy Manager
- Clinical Pharmacy Specialist
- Medication Safety Pharmacist
- Pharmacy Operations Manager
- Healthcare IT Professional
Why should you attend?
Artificial intelligence is increasingly influencing pharmacy practice, from medication-related decision support and workflow automation to data analysis and patient-care support. This session will help pharmacy professionals understand where AI can add value while also recognizing its limitations, risks, and implementation challenges. Participants will gain a practical overview of how AI may support pharmacists in improving efficiency, medication safety, clinical decision-making, and patient engagement. The webinar will also address important considerations such as data quality, privacy, bias, transparency, validation, professional accountability, and appropriate human oversight. Rather than focusing only on technology, the session will connect AI concepts to real pharmacy workflows and professional responsibilities. It is designed to help attendees identify realistic opportunities for AI adoption, ask the right questions when evaluating AI-enabled tools, and contribute meaningfully to safe and responsible digital transformation within pharmacy practice.
Faculty - Mr.Mohammed Ilham Ahmed
Mohammed Ilham Ahmed is a PharmD graduate and accomplished training professional with 8 years of experience spanning the Technology, Pharmacy, and Engineering sectors. He brings a rare blend of clinical pharmaceutical expertise and technical fluency, specializing in Pharmacy, the Microsoft Office Suite, and Artificial Intelligence. Known for translating complex, high-level concepts into practical, actionable learning, he empowers professionals and organizations to bridge the gap between healthcare knowledge and modern digital tools. His interdisciplinary approach and commitment to excellence make him a distinctive voice at the intersection of science, technology, and innovation.