The Potential Role of Digital Health in Obesity Care.
Artificial intelligence
Digital
Obesity
Telehealth
mHealth
Journal
Advances in therapy
ISSN: 1865-8652
Titre abrégé: Adv Ther
Pays: United States
ID NLM: 8611864
Informations de publication
Date de publication:
10 2022
10 2022
Historique:
received:
14
04
2022
accepted:
07
07
2022
pubmed:
5
8
2022
medline:
14
9
2022
entrez:
4
8
2022
Statut:
ppublish
Résumé
Obesity is a complex, multi-factorial, chronic condition which increases the risk of a wide range of diseases including type 2 diabetes mellitus, cardiovascular disease and certain cancers. The prevalence of obesity continues to rise and this places a huge economic burden on the healthcare system. Existing approaches to obesity treatment tend to focus on individual responsibility and diet and exercise, failing to recognise the complexity of the condition and the need for a whole-system approach. A new approach is needed that recognises the complexity of obesity and provides patient-centred, multidisciplinary care which more closely meets the needs of each individual with obesity. This review will discuss the role that digital health could play in this new approach and the challenges of ensuring equitable access to digital health for obesity care. Existing technologies, such as telehealth and mobile health apps and wearable devices, offer emerging opportunities to improve access to obesity care and enhance the quality, efficiency and cost-effectiveness of weight management interventions and long-term patient support. Future application of machine learning and artificial intelligence to obesity care could see interventions become increasingly automated and personalised.
Identifiants
pubmed: 35925469
doi: 10.1007/s12325-022-02265-4
pii: 10.1007/s12325-022-02265-4
pmc: PMC9362065
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
4397-4412Informations de copyright
© 2022. The Author(s).
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