Monday, August 31, 2026

11:00 AM - 12:30 PM

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Details

Organised by the FIP Technology Advisory Group in collaboration with the FIP Community Pharmacy Section, the FIP Health and Medicines Information Section and the Hospital Pharmacy Section Chair(s) Dr Hala Fadda, Member of the FIP Congress Programme Development Group, USA & Mr Luís Lourenço, Vice president FIP Board, Portugal Introduction: As medicines move from controlled clinical trial environments into real-world use, the true picture of their effectiveness, safety, and value emerges through patient experiences, adherence behaviours, and practice-based outcomes. Real-World Data (RWD) and Real-World Evidence (RWE) are therefore becoming increasingly central to decision-making across medicine regulation, reimbursement, practice improvement, and public health planning. At the same time, advances in digital health and artificial intelligence (AI) are transforming how health systems monitor antimicrobial resistance, identify emerging risks, manage medicine supply chains, and understand environmental impacts within a “One Health” framework. Pharmacists—situated at the interface of patient care, public health, and medicines management—are uniquely positioned to translate these data streams into meaningful insights. By strengthening data literacy and evidence-generation capacity, pharmacists can evolve from data custodians to active contributors to research, stewardship, and system intelligence. This session will explore how pharmacists can use RWD/RWE and AI-enabled data systems to enhance patient outcomes, support antimicrobial stewardship, and contribute to predictive, sustainable health systems. Programme: Learning objectives: 1. Describe the role of RWD/RWE in assessing real-world medicine performance. 2. Explain how pharmacists can contribute to and use real-world evidence in practice. 3. Understand how AI and integrated data systems support antimicrobial stewardship and “One Health” surveillance and apply data literacy to strengthen insights in pharmacy practice. Take home messages: Enable pharmacists to leverage real-world data, evidence, and AI-enabled systems to improve patient outcomes, advance antimicrobial stewardship, and apply data-driven insights for predictive, sustainable, and “One Health” informed pharmacy practice. FIP Development Goals: To learn more about these FIP Development Goals, click on the links below. FIP Development Goal 5: Competency Development FIP Development Goal 12: Pharmacy Intelligence FIP Development Goal 20: Digital Health

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