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

Artificial Intelligence (2392) Clinical Information and Decision Making (2099) Focus Groups and Qualitative Research for Human Factors Research (1325) Chronic Conditions (486)

Published on in Vol 28 (2026)

This is a member publication of University of Birmingham (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87507, first published .
Exploring Patient Perspectives on the Use of Artificial Intelligence to Inform Joint Decision-Making for Patients With Multiple Conditions in Primary Care in the United Kingdom: Qualitative Study

Exploring Patient Perspectives on the Use of Artificial Intelligence to Inform Joint Decision-Making for Patients With Multiple Conditions in Primary Care in the United Kingdom: Qualitative Study

Exploring Patient Perspectives on the Use of Artificial Intelligence to Inform Joint Decision-Making for Patients With Multiple Conditions in Primary Care in the United Kingdom: Qualitative Study

Authors of this article:

Sarah Flanagan1 Author Orcid Image ;   Charlotte Spurway2 Author Orcid Image ;   Louise Jackson2 Author Orcid Image ;   Jenny Cooper1 Author Orcid Image ;   Francesca L Crowe1 Author Orcid Image ;   Shamil Haroon1 Author Orcid Image ;   Tom Marshall1 Author Orcid Image ;   Leah Fitzsimmons3 Author Orcid Image ;   Eleanor Hathaway1 Author Orcid Image ;   Krishnarajah Nirantharakumar1 Author Orcid Image ;   Thomas Jackson4 Author Orcid Image ;   Sheila Greenfield1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Sarah Flanagan   1 * , PhD ;   Charlotte Spurway   2 * , PhD ;   Louise Jackson   2 , PhD ;   Jenny Cooper   1 , MBChB, MPH ;   Francesca L Crowe   1 , PhD ;   Shamil Haroon   1 , PhD ;   Tom Marshall   1 , PhD ;   Leah Fitzsimmons   3 , PhD ;   Eleanor Hathaway   1 , MPH ;   Krishnarajah Nirantharakumar   1 , MD ;   Thomas Jackson   4 , PhD ;   Sheila Greenfield   1 , PhD

1 Department of Applied Health Science, University of Birmingham, Birmingham, England, United Kingdom

2 Health Economics Unit, University of Birmingham, Birmingham, England, United Kingdom

3 Department of Metabolism and Systems Science, University of Birmingham, Birmingham, England, United Kingdom

4 Department of Inflammation and Ageing, University of Birmingham, Birmingham, England, United Kingdom

*these authors contributed equally

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