Value of using artificial intelligence derived clusters by health and social care need in primary care: A qualitative interview study with patients living with multiple long-term conditions, carers and health care professionals

Value of using artificial intelligence derived clusters by health and social care need in primary care: A qualitative interview study with patients living with multiple long-term conditions, carers and health care professionals

Background People living with MLTCs attending primary care often have unmet social care needs (SCNs), which can be challenging to identify and address. Artificial intelligence (AI) derived clusters could help to identify patients at risk of SCNs. Evidence is needed on views about the use of AI-deriv...

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Bibliographic Details
Main Authors: Sian Holt, Glenn Simpson, Miriam Santer, Hazel Everitt, Andrew Farmer, Kuangji Zhou, Zhiling Qian, Firoza Davies, Hajira Dambha-Miller, Leanne Morrison
Format: Article
Language:English
Published: SAGE Publishing 2025-06-01
Series:Journal of Multimorbidity and Comorbidity
Online Access:https://doi.org/10.1177/26335565251353016
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