Guideline-Based Decision Support Systems for Prevention and Management of Chronic Diseases
Thursday 29 march, 11.30-12.30
University of Twente, Zuidhorst Building (Building 28), room ZH286
One of the greatest challenges in today’s health care is closing the gap between scientific evidence and medical practice. Keeping up with information in health care has never been easy, but with 75 clinical trials and 11 systematic reviews published daily, physicians face unmanageable information processing tasks. The lack of success in translating research findings into medical practice is particularly prevalent in the prevention and management of chronic diseases. Clinical practice guidelines are therefore considered essential instruments to increase the application of scientific evidence in this field. But guidelines are often not followed in clinical practice; implementing clinical practice guidelines in routine care has proved to be a challenging problem of its own. Computerized decision support systems have proven to be one of the most successful strategies for guideline implementation.
In my talk I present an overview of guideline-based decision support systems for prevention and management of chronic diseases. The running example will be the prevention and management of cardiovascular disease. After a review of the literature on guideline implementation strategies and decision support systems, I will discuss the CARDSS project, an example in the field of cardiac rehabilitation. The talk is concluded with an outlook to current and future developments, including eHealth systems that are targeted at care consumers rather than care professionals.
Dr. Niels Peek studied Computer Science and Artificial Intelligence at Utrecht University, and holds a PhD in Computer Science from Utrecht University. He is currently an Assistant Professor of Medical Informatics of the Academic Medical Center (AMC) in Amsterdam, where he supervises 2 MSc and 7 PhD students. He teaches at the University of Amsterdam and the Technical University Braunschweig (Germany). His research focuses on improving quality and safety of healthcare using methods and tools from the fields of informatics, statistics, and artificial intelligence. He chairs the working group on Intelligent Data Analysis & Data Mining from the International Medical Informatics Association (IMIA), and organized the Workshop on Intelligent Data Analysis in bioMedicine and Pharmacology (IDAMAP) in 2005, 2006, and 2011. Since 2003, he has supervised the CARDSS project on electronic decision support and quality improvement in cardiac rehabilitation. Dr. Peek is the scientific chair of the 14th Conference on Artificial Intelligence in Medicine (AIME’13).
Host: Dr Val Jones, The Telemedicine Group, Biomedical Signals and Systems, University of Twente.