Workshop 3: Advancing Rational Drug Treatment: Integrating People, Computerized Decision Support and Artificial Intelligence
Tracks
Track 1
| Sunday, July 12, 2026 |
| 11:15 AM - 1:15 PM |
Details
The workshop "Advancing Rational Drug Treatment: Integrating People, Computerized Decision Support and Artificial Intelligence" aims to explore cutting-edge innovations in the use of technology for enhancing drug therapy management, as well as human factors. With the rapid advancements in artificial intelligence (AI) and computerized decision support systems (CDSS), healthcare professionals are equipped with potentially powerful tools to optimize medication use, improve patient outcomes, and reduce adverse drug events. This workshop will bring together esteemed speakers from around the globe, each of whom is a pioneer in their respective fields of computerized decision support for rational drug treatment. The agenda includes short keynote presentations that highlight recent research breakthroughs, practical applications, and case studies demonstrating successful implementation of these technologies. A dynamic panel discussion will provide an interactive platform for experts to debate the future directions and ethical considerations of AI in drug treatment. Attendees will have the opportunity to engage with the speakers during a Q&A session and network with peers to foster collaboration and innovation. By bridging the gap between technological advancements and clinical practice, this workshop aspires to empower healthcare providers with the knowledge and tools necessary for rational drug treatment in the digital age.
Speaker
Prof Melissa Baysari
University of Sidney
The impact of drug-drug interaction alerts on drug-drug interactions and patient harms
Biography
Professor Melissa Baysari leads the Digital Health Human Factors Group at the University of Sydney, Australia. Her team apply human factors methods and approaches to evaluate and optimise health technologies to support healthcare work and improve patient safety. Melissa has published widely in the areas of medication safety, electronic medical record systems and decision support systems, and she has secured over AUD $30Mill in research funding. Importantly, Melissa’s research has resulted in a number of significant changes being made to clinical information systems, as well as to hospital policy and work practices, and her research has informed clinical decision support design guidelines both nationally and internationally.
Dr Seyma Handan Akyön
Sincan Education and Research Hospital
Advancing Rational Drug Treatment: Integrating People, Computerized Decision Support and Artificial Intelligence
Biography
Dr. Seyma Handan Akyon is a family medicine specialist in Turkey, dedicated to advancing the field of Family Medicine through rigorous research, innovation, and strategic international collaborations. Her professional endeavors are characterized by a profound commitment to enhancing patient care, particularly through the integration of Artificial Intelligence technologies into clinical practice, thereby bridging the divide between medical science and technological innovation. Dr. Akyon's significant contributions to research were formally acknowledged with the prestigious "Best Family Medicine Specialist Thesis" award in the 2023 TAHEV National Thesis competition. Demonstrating a steadfast commitment to continuous professional development, she currently serves as the leader of Digital Health&AI Special Interest Group of the European Young Family Doctors' Movement (EYFDM), actively working to cultivate global healthcare partnerships and elevate the standards of Family Medicine at both national and international levels.
Session chair
Ylva Bottiger
Linköping University
Lisa Kouladjian O'Donnell
University of Sydney
