• Thomas M Helms, Anne Köpnick, Alexander Leber, Christian Zugck, Henning Steen, Christoph Karle, Andrew Remppis, and Bettina Zippel-Schultz.
• Deutsche Stiftung für chronisch Kranke, Fürth, Deutschland. thomas_helms@t-online.de.
• Internist (Berl). 2021 Nov 1; 62 (11): 1180-1190.

AbstractDigital health solutions, applications of artificial intelligence (AI) and new technologies, such as cardiac magnetic resonance imaging and cardiac human genetics are currently being validated in cardiac healthcare pathways. They show promising approaches for improving existing healthcare structures in the future by strengthening the focus on predictive, preventive and personalized medicine. In addition, the accompanying use of digital health applications will become increasingly more important in the future healthcare, especially in patients with chronic diseases. In this article, the authors describe a case of chronic heart failure (HF) as an example to provide an overview of how digitalized healthcare can be efficiently designed across sectors and disciplines in the future. Moreover, the importance of a self-determined patient management for the treatment process itself is underlined. Since HF is frequently accompanied by various comorbidities during the course of the disease that are often recognized only after a delay, the necessity for a timely simultaneous and preventive treatment of multiple comorbidities in cardiovascular diseases is emphasized. Against this background the currently separately applied disease management programs (DMP) are critically questioned. The development of a holistic DMP encompassing all indications for the treatment of chronic diseases may pave the way to a more efficient medical care system.© 2021. Springer Medizin Verlag GmbH, ein Teil von Springer Nature.

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