STEPHAN KIEFER, Group Manager Home Care/Telemedicine, IBMT Fraunhofer, Germany
Stephan Kiefer, male, has received his diploma degree in informatics from the University of Saarland, Germany in 1991. He joint Fraunhofer already as a student and works as a scientist in the Institute for Biomedical Engineering (IBMT) since 1991. In his early years at Fraunhofer he developed embedded medical devices and industrial sensory systems. Among others, he became an expert in advanced signal processing methods with a focus on neural networks and fuzzy logic. In 1998 he became responsible for a working group in telemedicine and home monitoring solutions. In this position he leaded pioneering national innovation and pilot projects for the rehabilitation of stroke patients at home. He was the architect of various personal health systems for disease management developed by IBMT in the context of European ICT research. His expertise includes among others data fusion and analysis, innovative information technologies for home-, mobile- and telemedicine applications, clinical decision support, semantic biomedical data integration, e-infrastructures for biomedical research and integrated biobanking solutions.
Stephan Kiefer has now more than 18 years of experience in coordinating and contributing to national and international r+d projects and pilot trials in the area of e-health and biomedical informatics. Among others, he coordinated the FP5 ICT project TOPCARE and the European Latin-American telemedicine pilot project T@lemed and contributed as an expert to FP7 road mapping activities for innovative personal health systems (PHS2020). Currently he coordinates the H2020 project iManageCancer.
In his current position as group manager for Smart Health Information Systems he is responsible for ICT driven innovations in e-health and e-infrastructures for biomedical research.
Title of keynote speech:
"Smart disease management systems"
Medicine is turning from a reactive to a proactive discipline that is predictive, personalized, preventive and participatory. This notion of P4 medicine presented by Hood & Friend in 2011 is driven by rapid medical progress in areas like genomic medicine and is further enabled by emerging information technologies such as the penetration of our societies with smartphones, wearables and mobile services provided by ten thousands of health apps. Healthcare data is expected to double in ever shorter intervals turning medicine into a data intensive discipline that challenge physicians in their daily routine. In this novel world of P4 medicine patients shall become active and informed contributors of the management of their disease who participate in clinical decision making, acquire data on their health status and manage certain aspects of their condition by themselves. In consequence, smarter disease management systems combined with personal health systems are urgently needed that incorporate decision support and guidance for both patients and doctors to manage the disease in a shared way. They acquire and assess data on the patient’s current condition, predict the development of his/her health and propose or initiate adaptations of the therapy.
This talk presents novel and smart ICT driven approaches from European research for the mobile and ambulatory management and self-management of chronic diseases following the philosophy of care pathways. These approaches are centred around a clinical workflow-driven and process management based concept to decision support that guides patients and doctors with corresponding applications on their end devices through the care pathway and supports them in decision making and management with corresponding precise information about the recommended therapy. The concept involves predictive disease models as an important mean to assess patient’s data. Healthcare providers and specialists are provided with a tool to design formal personalised care pathways for the management of symptoms, complications and side effects that a generic system tailored to disease management can interpret and execute. Examples from current European research projects iManageCancer (http://imanagecancer.eu/) and d-LIVER (http://www.d-liver.eu/) show for cancer and liver failure how this concept is implemented in corresponding disease management solutions.