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Thesis

The efficient doctor-patient relationship: a value-based framework for person-centred healthcare in the age of artificial intelligence

Abstract:

We know that the doctor-patient relationship contributes to improving patient outcomes. Policymakers and professional bodies expect the integration of artificial intelligence (AI) in healthcare to enhance doctor-patient relationships in an efficient way. Promissory discourse has largely focused on the efficiency gains from AI, often assuming that these gains will straightforwardly be reallocated to benefit doctor-patient relationships, yet offering little explanation of how this reallocation ...

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Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Oxford college:
St Cross College
Role:
Author
ORCID:
0000-0002-2831-1834

Contributors

Institution:
University of Oxford
Division:
MSD
Department:
Pathology Dunn School
Role:
Supervisor
Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Role:
Supervisor
ORCID:
0000-0001-9344-3297
Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Role:
Supervisor


More from this funder
Funder identifier:
https://ror.org/04fegx276
More from this funder
Funder identifier:
https://ror.org/013ww9721


DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford


Language:
English
Keywords:
Subjects:
Pubs id:
2328905
Local pid:
pubs:2328905
Deposit date:
2025-10-20
ARK identifier:

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