Digital patient model for chronic diseases – A dashboard for more targeted diagnoses and therapies
Digital patient model for chronic diseases – A dashboard for more targeted diagnoses and therapies
In the MED²ICIN lead project, a digital patient model for chronically ill persons has been developed. A particularly clear, web-based dashboard shows, among other things, the course of the disease, medication responses and recommendations for action. In addition, the data can be compared with a large pool of data from other patients. In our video report, Dr. Stefan Wesarg, Prof. Jörn Kohlhammer and Dr. Michaela Köhm explain how this works with the help of artificial intelligence and what problems the researchers from the seven Fraunhofer Institutes involved have encountered.
Source: MEDICA-tradefair.com
Author: Natascha Mörs | Editorial team MEDICA-tradefair.com
Multimedia editor Natascha Mörs has been writing and filming for MEDICA.de for almost 20 years. She is particularly interested in personal discussions with experts from the world of medical technology about their practical and increasingly smart solutions.
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