You are here:
Telemed5000 "Development of an intelligent system for remote patient management of large groups of cardiological risk patients"
The aim of the project is to improve the medical care of patients with chronic heart failure using a remote patient management system supported by artificial intelligence (AI). In Germany, around 2.5 million patients suffer from chronic heart failure (1). There are 487,247 inpatient treatments per year (2019) 2). Heart failure (HI) is the most common reason for hospital stays due to illness, with annual therapy costs of almost 5.3 billion euros (2015) (3). Around 85% of the costs arise from inpatient stays (4). It is therefore a great challenge to reduce the number of hospital stays by improving (outpatient) heart failure care.
Telemedical co-care (in the form of RPM - Remote Patient Management Care) for high-risk patients in addition to face-to-face care by general practitioners and specialists to avoid HI hospitalizations and reduce overall mortality is evidence-based. The TIM-HF2 study showed for the first time in 1,538 HI patients that an additional 1-year RPM care could reduce 1-year mortality by 3% (5).
However, there is a lack of technical innovations that would make it possible to implement telemedical co-care for the approximately 200,000 affected patients in Germany. A linear scaling of the telemedicine technology used in the TIM-HF2 study would require the establishment of 200 telemedicine centers (TMZ) in Germany alone, which work 24/7. 1 Telemedical Interventional Management in Heart Failure II (TIM-HF2, NCT01878630, carried out 2013-2018 under the direction of the Charité, funded by the Federal Ministry of Education and Research as part of the “Health Region of the Future North Brandenburg - Fontane” project, in order to clinically evaluate 500-750 patients per center every day Implementation scenario: So far there have only been commercial technical solutions for a care capacity of a maximum of 150 patients per TMZ.
The main goal of the project is therefore to develop a system solution that makes RPM care for large numbers of patients in standard care technically possible, using artificial intelligence (AI) in the preprocessing of the vital data that is received daily in the TMZ. As a result, a care capacity of 5,000 patients per TMZ should be achievable with the same staff, which would reduce the need to 20 TMZ (approx. 1-2 per federal state).
Three clinical studies are being carried out as part of the project. The Telemed5000-Voice and Telemed5000-Covid-19 studies have already started.
- Charité – Universitätsmedizin Berlin
- GETEMED Medizin- und Informationstechnik AG
- Universität Potsdam – Hasso Plattner Institut
- SYNIOS Document & Workflow Management GmbH
- Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme
- Austrian Institute of Technology - AIT (österreichischer Verbundpartner)
- Technische Universität Berlin
- Deutsches Herzzentrum Berlin
Further Information (only in German)
- Technologiewettbewerb „Smarte Datenwirtschaft“ des Bundesministeriums für Wirtschaft und Energie
- Bekanntgabe der Gewinner des Technologiewettbewerbes
- Holstiege J, et al. Prävalenz der Herzinsuffizienz – bundesweite Trends, regionale Variationen und häufige Komorbiditäten. Zentralinstitut für die kassenärztliche Versorgung in Deutschland (Zi). Versorgungsatlas-Bericht Nr. 18/09, 2018.
- Statistisches Bundesamt, Krankheitskosten: Deutschland, Jahre, Krankheitsdiagnosen (ICD10). 2018: Wiesbaden.
- Neumann T et al. Heart failure: the commonest reason for hospital admission in Germany: medical and economic perspectives. Dtsch Arztebl Int, 2009. 106(16): p. 269-75.
- Koehler F.et al. Efficacy of telemedical interventional management in patients with heart failure (TIM-HF2): a randomised, controlled, parallel-group, unmasked trial. Lancet, 2018. 392(10152): p. 1047-1057.