Journal article
Which AI doctor would you like to see? Emulating healthcare provider–patient communication models with GPT-4: proof-of-concept and ethical exploration
- Abstract:
- Large language models (LLMs) have demonstrated potential in enhancing various aspects of healthcare, including health provider-patient communication. However, some have raised the concern that such communication may adopt implicit communication norms that deviate from what patients want or need from talking with their healthcare provider. This paper explores the possibility of using LLMs to enable patients to choose their preferred communication style when discussing their medical cases. By providing a proof-of-concept demonstration using ChatGPT-4, we suggest LLMs can emulate different healthcare provider-patient communication approaches (building on Emanuel and Emanuel's four models: paternalistic, informative, interpretive and deliberative). This allows patients to engage in a communication style that aligns with their individual needs and preferences. We also highlight potential risks associated with using LLMs in healthcare communication, such as reinforcing patients' biases and the persuasive capabilities of LLMs that may lead to unintended manipulation.
- Publication status:
- Published
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(Preview, Version of record, pdf, 483.7KB, Terms of use)
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- Publisher copy:
- 10.1136/jme-2024-110256
Authors
+ Wellcome Trust
More from this funder
- Funder identifier:
- https://ror.org/029chgv08
- Grant:
- 226801/Z/22/Z
+ European Commission (Horizon 2020)
More from this funder
- Funder identifier:
- https://ror.org/00k4n6c32
- Grant:
- 101057655
+ Arts and Humanities Research Council
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- Funder identifier:
- https://ror.org/0505m1554
- Grant:
- AH/W005077/1
- Publisher:
- BMJ Publishing Group
- Journal:
- Journal of Medical Ethics More from this journal
- Publication date:
- 2025-03-03
- Acceptance date:
- 2025-02-01
- DOI:
- EISSN:
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1473-4257
- ISSN:
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0306-6800
- Pmid:
-
40032513
- Language:
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English
- Keywords:
- Pubs id:
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2094934
- Local pid:
-
pubs:2094934
- Deposit date:
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2025-03-20
Terms of use
- Copyright holder:
- Zohny et al.
- Copyright date:
- 2025
- Rights statement:
- © Author(s) (or their employer(s)) 2025. Re-use permitted under CC BY. Published by BMJ Group. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
- Licence:
- CC Attribution (CC BY)
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