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This paper is in the following e-collection/theme issue:

Proposals (eHealth) (176) Methods and Feasibility Studies (782) Artificial Intelligence (5136) Frailty Detection, Assessment and Prediction (251) AI Language Models in Health Care (872)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68511, first published .
Doctor and patient discuss AI, MDT, and PCC summaries for healthcare innovation.

Collecting and Sharing Person-Centered AI Clinical Summaries Across Frailty Services Provided by the National Health Service and Voluntary, Community, and Social Enterprise: Protocol for a Co-Design and Feasibility Study

Collecting and Sharing Person-Centered AI Clinical Summaries Across Frailty Services Provided by the National Health Service and Voluntary, Community, and Social Enterprise: Protocol for a Co-Design and Feasibility Study

Authors of this article:

Kieran Green1 Author Orcid Image ;   Sheena Asthana1 Author Orcid Image ;   Oscar Josue Ponce-Ponte2 Author Orcid Image ;   John Downey1 Author Orcid Image ;   Joanne Watson3 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Womack D, Seufert G, Goodier T, Velk L, Swenson M, Brainerd J, Nowland L, Miller A, Fifield A, Izumi S. Strengthening EHR Support for RN-Led Chronic Care Management in Primary Care. CIN: Computers, Informatics, Nursing 2026 View
  2. Gao Y, Zhang C, Zhou Z, Sun H, Feng Z, Jie S, Shao Q, Yang S, Ai Q, Yan J, Chen N, Chu S, Zhang Z, He W. Artificial intelligence in gut-brain axis research for Alzheimer’s disease: From associative insights toward causal inference and personalized interventions. Food & Medicine Homology Resources 2026 View