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In The EPMA journal ; h5-index 0.0

Heart failure (HF) is one of the most complex chronic disorders with high prevalence, mainly due to the ageing population and better treatment of underlying diseases. Prevalence will continue to rise and is estimated to reach 3% of the population in Western countries by 2025. It is the most important cause of hospitalisation in subjects aged 65 years or more, resulting in high costs and major social impact. The current "one-size-fits-all" approach in the treatment of HF does not result in best outcome for all patients. These facts are an imminent threat to good quality management of patients with HF. An unorthodox approach from a new vision on care is required. We propose a novel predictive, preventive and personalised medicine approach where patients are truly leading their management, supported by an easily accessible online application that takes advantage of artificial intelligence. This strategy paper describes the needs in HF care, the needed paradigm shift and the elements that are required to achieve this shift. Through the inspiring collaboration of clinical and high-tech partners from North-West Europe combining state of the art HF care, artificial intelligence, serious gaming and patient coaching, a virtual doctor is being created. The results are expected to advance and personalise self-care, where standard care tasks are performed by the patients themselves, in principle without involvement of healthcare professionals, the latter being able to focus on complex conditions. This new vision on care will significantly reduce costs per patient while improving outcomes to enable long-term sustainability of top-level HF care.

Barrett Matthew, Boyne Josiane, Brandts Julia, Brunner-La Rocca Hans-Peter, De Maesschalck Lieven, De Wit Kurt, Dixon Lana, Eurlings Casper, Fitzsimons Donna, Golubnitschaja Olga, Hageman Arjan, Heemskerk Frank, Hintzen André, Helms Thomas M, Hill Loreena, Hoedemakers Thom, Marx Nikolaus, McDonald Kenneth, Mertens Marc, Müller-Wieland Dirk, Palant Alexander, Piesk Jens, Pomazanskyi Andrew, Ramaekers Jan, Ruff Peter, Schütt Katharina, Shekhawat Yash, Ski Chantal F, Thompson David R, Tsirkin Andrew, van der Mierden Kay, Watson Chris, Zippel-Schultz Bettina


Artificial Intelligence, Comorbidities, Diabetes, Disease modelling, Healthcare digitalisation, Healthcare economy, Heart failure, Individualised patient profile, Information and communications technology, Integrated care, Medical ethics, Multi-level diagnostics, Patient engagement, Patient stratification, Predictive preventive personalised participatory medicine, Professional interactome, Societal impact, Therapy monitoring