Health Enabling Technologies in Braunschweig – New Innovative eLearning Course

As part of HiGHmed's joint teaching and training programme, the Peter L. Reichertz Institute (PLRI) for Medical Informatics has developed the innovative e-learning module entitled “Health Enabling Technologies and Data”.

The HiGHmed consortium – made up of renowned German medical institutes – empowers aspiring leaders of the healthcare field of tomorrow, by promoting digital literacy and supporting digital integration across all fields of allied health. To achieve this, HiGHmed is developing HiGHmeducation – an innovative training framework for teaching health informatics and data science skills to physicians, nurses and other staff from all fields of allied health. Multiple newly established online courses are already underway, right across our various academic partner sites. These online courses can be taken individually and we will soon be offering an integrated vocational training programme, which will allow participants to earn HiGHmed professional certificates in e-health.

As part of HiGHmed's joint teaching and training programme, the Peter L. Reichertz Institute (PLRI) for Medical Informatics has developed the innovative e-learning module entitled “Health Enabling Technologies and Data”. Health Enabling Technologies, as a category, comprises all technologies that systematically process data about an individual's state of health, in order to maintain or improve it. These technologies (e.g. sensors for fall detection) can be implemented in various everyday environments – at home, in a vehicle etc. – to record biomedical signals from the human body, such as heart rate or body temperature.

The use of Health Enabling Technologies (HET) in everyday environments presents challenges in both data collection and analysis. Variations in the placement of the recorder, background vibrations and patient behaviour can result in problems like poor signal-to-noise ratio, shifting offsets and data gaps. In addition to the difficulties in signal processing and analysis, the large volume of data requires robust algorithms for automated analysis in order for staff to understand and interpret the measurements.

The “Health Enabling Technologies and Data” course at the PLRI covers all aspects of HET usage described above, in order to better prepare for digital integration in healthcare. The module uses Python and R with a practical focus on the processing of HET signals. Topics include the basics of semantic interoperability, the evaluation of algorithms and model-based methodology for real-time monitoring and emergency detection. By offering the course online, students can participate at a location and time convenient to them. The current course started in October 2019 and is offered to master students of computer science, business informatics as well as students from other fields.

The next course begins in October 2020, and will be available to students and employees of the academic partners and the other institutions involved in the HiGHmed project. If you want to participate in our course, please send an e-mail to info@highmed-lehre.de.

First posted 10.12.2019, 15:45:00.