Decision Support in Medical Care
How to access knowledge for clinical decision support
University Medical Center Göttingen
Data-intensive personalized medicine, as well as optimized health care strategies for patients with comorbidities, make clinical decisions much more complicated than the usual level taught at medical schools. This has a massive impact on the need for support, documentation and the realization of studies. Additionally, this complexity hampers the communication between the physicians involved in decision-making, as well as the patients’ participation in these processes. Students and personnel in medical care must be prepared for such situations and they need to learn problem-solving strategies. Furthermore, they must know about the options, strengths, and weaknesses of digital systems for decision support in medical care and practice working with such systems.
Target Group: The module is designed as an elective module for several branches of study. It is primarily aimed at students of medicine and medical informatics as well as physicians in postgraduate training or continuing medical education. It is also open to other students in the field of medical care and people working in medical care who meet the entry requirements.
Learning Objectives: Based on the clinical use cases of HiGHmed and the experiences gained in the HiGHmed MeD-ICs, the participants at various career levels will get prepared to use complex and heterogeneous healthcare-related data for clinical decisions. In this context, the collaboration with Ada Health supports the realization of a teaching demonstrator to support patient-oriented decision-making, which will be focused on the clinical use case of ‘cardiology’. Additionally, the analogous approach with Siemens Healthineers must be realized and focused on the longterm handling of data collected by patients in a participative manner. Besides questions of data safety, quality management and risks of misinterpretation, also aspects like heterogeneity of health care data and gender impact on clinical disease characteristics are addressed. It imparts key competencies concerning the general handling and the limitations of decision support systems in medical care. The module will be developed and provided in close cooperation with the German Medical Association and the industrial partner Ada Health GmbH.
Embedding: The Göttingen curriculum of Medical Informatics has been designed by the Department of Medical Informatics at the UMG and is offered at the Faculty of Mathematics and Computer Science of Georg-August-University Göttingen. The Göttingen curriculum has been internationally accredited by the International Medical Informatics Association (IMIA) since 2012.