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Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

February 1, 2026February 1, 2026
Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

January 31, 2026February 1, 2026
Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

January 31, 2026January 31, 2026
Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

January 31, 2026January 31, 2026
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Tag: frailty

UCP supports joined-up care for thousands more Londoners

UCP supports joined-up care for thousands more Londoners

January 30, 2026January 30, 2026Digital Health

One year on from the expansion of the Universal Care Plan (UCP), thousands more Londoners have more personalised, joined-up care, according to OneLondon.
The UCP is an NHS service that enables Londoners in the capital…

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Machine learning-based predictions of healthcare contacts following emergency hospitalisation using electronic health records

Machine learning-based predictions of healthcare contacts following emergency hospitalisation using electronic health records

December 17, 2025December 17, 2025npj Digital Medicine

Emergency care systems are challenged by the emergence of an ageing population, requiring tailored inputs facilitated by early care needs assessment. We examined the potential of Machine Learning algorithms to identify in-hospital healthcare contacts…

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Metabolomic characterization of frailty identifies subtype-specific management strategies

Metabolomic characterization of frailty identifies subtype-specific management strategies

December 5, 2025December 6, 2025npj Digital Medicine

The clinical application of the frailty phenotype and frailty index still has some limitations, and whether the classification of frailty based on metabolites is beneficial to the management of the frailty population remains unclear….

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More than 100,000 Universal Care Plans created in London

More than 100,000 Universal Care Plans created in London

September 25, 2025September 25, 2025Digital Health

More than 100,000 care plans have been created using the Universal Care Plan (UCP) since the programme was launched, Capital OneLondon has announced. 
The UCP is an NHS service that digitally shares personalised care plans…

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Scotland’s Hospital at Home service to expand to 2,000 beds

Scotland’s Hospital at Home service to expand to 2,000 beds

July 24, 2025July 24, 2025Digital Health

Scotland’s Hospital at Home service will be expanded to 2,000 beds by December 2026, supported by a £85 million investment targeted at frontline NHS frailty services.
The virtual ward service predominantly provides care for frail,…

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A randomized controlled trial of mobile intervention using health support bubbles to prevent social frailty

A randomized controlled trial of mobile intervention using health support bubbles to prevent social frailty

July 22, 2025July 22, 2025npj Digital Medicine

Mobile health (mHealth) is gaining interest worldwide. This randomized trial aimed to test the effects of family companionship on the prevention of social frailty among Japanese individuals aged ≥40 years using a mHealth application….

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Embedding PHM at the heart of the Model ICB

Embedding PHM at the heart of the Model ICB

June 11, 2025June 11, 2025Digital Health

Hertfordshire and West Essex integrated care board (ICB) has used population health management (PHM) to transform care for people with frailty – an approach which should inform the federated data platform’s (FDP’s) capabilities, writes…

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The physical space of the hospital will be gradually digitized until virtually every object and sensor becomes part of the so-called 'Internet of Things.' These innovations can broadly be categorized as either clinical or experiential, though some will be both. Clinical innovations will involve gathering ever more "signals" from the patient (infrared, sound, electrophysiology, pulse-oximeter, facial expression, etc.) to be sifted in real time through machine-learning algorithms that will help physicians refine their understanding of diagnosis and prognosis in ways we can only imagine today. Experiential innovations will allow health systems and their partners to take a page from Netflix, using the engagement opportunity of the acute care episode to stream digital content to patients and families through TVs, tablets and their own devices from home.

Daniel Durand

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  • Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

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  • Decagon raises $250M for AI agents, triples valuation to $4.5B

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