Patient and public involvement in the ongoing applied artificial intelligence and complex health interventions co-design work

Stella Arakelyan; Jenny  Robertson; Jo  Turnbull; Stewart W Mercer; Bruce Guthrie

Patient and public involvement in the ongoing applied artificial intelligence and complex health interventions co-design work

Stella Arakelyan, Jenny Robertson, Jo Turnbull, Stewart W Mercer, Bruce Guthrie

Research output: Other contribution

Abstract / Description of output

This briefing paper describes how we involved Patient and Public Involvement (PPI) methods in the ongoing applied artificial intelligence (AI) and complex interventions co-design project seeking to improve pathways of care for people with multiple long-term conditions (MLTCs) in Scotland. This project is part of the wider NIHR-funded programme called AIM-CISC (www.aim-cisc) which aims to use AI and state-of-the-art data science, social science, genomics, and health service research methods to understand the clustering of MLTCs within individuals, communities, and in key clinical contexts.

Original language	English
Type	Briefing Paper
Publisher	University of Edinburgh, Edinburgh.
Number of pages	5
Publication status	Published - 24 Feb 2024

Publication series

Name	AIM-CISC Briefing papers
No.	1

Keywords / Materials (for Non-textual outputs)

patient and public involvement
complex intervention
multiple long-term conditions
multimorbidity

Access to Document

AIM-CISC Briefing Paper 1 Final published version, 828 KBLicence: Creative Commons: Attribution (CC-BY)

https://www.ed.ac.uk/usher/aim-cisc/publications

Cite this

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title = "Patient and public involvement in the ongoing applied artificial intelligence and complex health interventions co-design work",

abstract = "This briefing paper describes how we involved Patient and Public Involvement (PPI) methods in the ongoing applied artificial intelligence (AI) and complex interventions co-design project seeking to improve pathways of care for people with multiple long-term conditions (MLTCs) in Scotland. This project is part of the wider NIHR-funded programme called AIM-CISC (www.aim-cisc) which aims to use AI and state-of-the-art data science, social science, genomics, and health service research methods to understand the clustering of MLTCs within individuals, communities, and in key clinical contexts. ",

keywords = "patient and public involvement, complex intervention, multiple long-term conditions, multimorbidity",

author = "Stella Arakelyan and Jenny Robertson and Jo Turnbull and Mercer, {Stewart W} and Bruce Guthrie",

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AU - Arakelyan, Stella

AU - Robertson, Jenny

AU - Turnbull, Jo

AU - Mercer, Stewart W

AU - Guthrie, Bruce

PY - 2024/2/24

Y1 - 2024/2/24

N2 - This briefing paper describes how we involved Patient and Public Involvement (PPI) methods in the ongoing applied artificial intelligence (AI) and complex interventions co-design project seeking to improve pathways of care for people with multiple long-term conditions (MLTCs) in Scotland. This project is part of the wider NIHR-funded programme called AIM-CISC (www.aim-cisc) which aims to use AI and state-of-the-art data science, social science, genomics, and health service research methods to understand the clustering of MLTCs within individuals, communities, and in key clinical contexts.

AB - This briefing paper describes how we involved Patient and Public Involvement (PPI) methods in the ongoing applied artificial intelligence (AI) and complex interventions co-design project seeking to improve pathways of care for people with multiple long-term conditions (MLTCs) in Scotland. This project is part of the wider NIHR-funded programme called AIM-CISC (www.aim-cisc) which aims to use AI and state-of-the-art data science, social science, genomics, and health service research methods to understand the clustering of MLTCs within individuals, communities, and in key clinical contexts.

KW - patient and public involvement

KW - complex intervention

KW - multiple long-term conditions

KW - multimorbidity

M3 - Other contribution

T3 - AIM-CISC Briefing papers

PB - University of Edinburgh, Edinburgh.

ER -

Patient and public involvement in the ongoing applied artificial intelligence and complex health interventions co-design work

Abstract / Description of output

Publication series

Keywords / Materials (for Non-textual outputs)

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