Building Multiple Long-Term Conditions Research Capacity & Capabilities

The AI for Multiple Long-Term Conditions Research Support Facility (AIM RSF), a collaborative initiative led by The Alan Turing Institute in partnership with Swansea University, the University of Edinburgh and the University of Oxford, oversees eight research consortia across the UK to support and drive culture change in Multiple Long-Term Condition (MLTC) research. By connecting researchers, healthcare professionals, and patients, AIM RSF has reshaped our understanding of MLTCs.The initiative focuses on five key areas: building robust infrastructure, improving data accessibility, creating a connected research community, engaging with the public, and ensuring lasting impact.As we approach April 2025, marking the conclusion of this phase of the AIM RSF, we reflect on our achievements and the foundation we've laid for future advancements in MLTC research. This case study, the 2nd in a series of three, shares our journey around building capacity for MLTC. AIM RSF is funded by the NIHR [Artificial Intelligence for Multiple Long-Term Conditions (AIM) programme (NIHR202647). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-28
DOI
https://doi.org/10.5281/zenodo.14999278
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
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article

Building Multiple Long-Term Conditions Research Capacity & Capabilities

Zenodo (CERN European Organization for Nuclear Research)
Health, Environment, Cognitive Aging
article

Building Multiple Long-Term Conditions Research Capacity & Capabilities

article en

Abstract

The AI for Multiple Long-Term Conditions Research Support Facility (AIM RSF), a collaborative initiative led by The Alan Turing Institute in partnership with Swansea University, the University of Edinburgh and the University of Oxford, oversees eight research consortia across the UK to support and drive culture change in Multiple Long-Term Condition (MLTC) research. By connecting researchers, healthcare professionals, and patients, AIM RSF has reshaped our understanding of MLTCs.The initiative focuses on five key areas: building robust infrastructure, improving data accessibility, creating a connected research community, engaging with the public, and ensuring lasting impact.As we approach April 2025, marking the conclusion of this phase of the AIM RSF, we reflect on our achievements and the foundation we've laid for future advancements in MLTC research. This case study, the 2nd in a series of three, shares our journey around building capacity for MLTC. AIM RSF is funded by the NIHR [Artificial Intelligence for Multiple Long-Term Conditions (AIM) programme (NIHR202647). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.

Zenodo (CERN European Organization for Nuclear Research)
University of Liverpool (GB), King Abdullah International Medical Research Center (SA), The Alan Turing Institute (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 48%
Health, Environment, Cognitive Aging
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Building Multiple Long-Term Conditions Research Capacity & Capabilities · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS