Artificial intelligence supported patient self-care in chronic heart failure: a paradigm shift from reactive to predictive, preventive and personalised care.
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
Journal
The EPMA journal
ISSN: 1878-5077
Titre abrégé: EPMA J
Pays: Switzerland
ID NLM: 101517307
Informations de publication
Date de publication:
Dec 2019
Dec 2019
Historique:
received:
03
07
2019
accepted:
23
09
2019
entrez:
14
12
2019
pubmed:
14
12
2019
medline:
14
12
2019
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 31832118
doi: 10.1007/s13167-019-00188-9
pii: 188
pmc: PMC6882991
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
445-464Informations de copyright
© The Author(s) 2019.
Déclaration de conflit d'intérêts
Competing interestsThe following conflicts of interests exist: AH, TH, JR and KvdM are staff members of Sananet; FH is staff member of RIMS; JP, AP and YS are staff members of Nurogames; PR and AT are staff members of Exploris. Apart from this and the collaboration within this project of academic, non-profit and industrial partners, the authors do not have any conflicts of interest.
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