2025/09/10 by Jacob Keast, Glenn Simpson, Lucy Smith +1 · 1 voice
Medicine · #Chronic Disease Management Strategies
paper · pdf · doi:10.3399/bjgpo.2025.0094
openalex publication_date 2025/09/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Multimorbidity, the presence of two or more chronic conditions, presents significant challenges in healthcare.Multimorbidity affects over 25% of UK adults and is a growing global challenge, contributing substantially to disability-adjusted life years (DALYs) and healthcare costs(1).Longterm conditions, which frequently co-occur, now account for over 70% of global DALYs, underscoring the urgency of scalable, cost-effective interventions(2).Individuals with multimorbidity often struggle with complex treatment regimens, multiple medications, and care plans tailored to each condition, leading to fragmented care that may not address their overall health needs(3).Exercise is an important component in the management of chronic conditions, although there is a significant challenge in designing personalised approaches to accommodate the unique combination of health conditions a patient faces.Limitations of standardised exercise referral schemes include limited adaptability to individual progress, low adherence rates, and a lack of contextual personalisation (4,5) Artificial Intelligence (AI)-driven exercise programmes offer a promising solution, providing tailored and adaptable plans that respond to the specific needs of multimorbidity populations.AI coaching