Artificial Intelligence and Multimorbidity: Clustering in Individuals, Space and Clinical Context (AIM-CISC)
Professor Bruce Guthrie leads one of three new Research Collaborations funded as part of the Artificial Intelligence for Multiple Long-Term Coniditions (AIM) call.
The Artificial Intelligence and Multimorbidity: Clustering in Individuals, Space and Clinical Context (AIM-CISC) is a three-year research programme looking into multiple long-term health conditions (MLTCs) in the UK.
As the population grows and people are living longer, the impact of MLTCs on both the population and the health and care system intensifies. This project aims to produce a detailed picture of MLTCs in the United Kingdom - how they present in individuals and through families, the influence that place and community has on MLTCs, and how people with MLTCs are treated by the health services.
The results of this research can be used to inform future strategies in dealing with this issue. The collaboration will develop new methods to help GPs or hospital doctors predict when a patient might be at high risk of adverse outcomes because they have other conditions, and develop new models of care to improve the outcomes of those at highest risk.
AIM-CISC is funded by the National Institute for Health and Care Research.