TY - JOUR
T1 - Strategies for Person-Centred AI Integration
T2 - A Study Protocol
AU - Fernandes, Júlio Belo
AU - Vareta, Diana
AU - Fernandes, Sónia
AU - Castro, Cidália
AU - Hall, Steven
AU - Baixinho, Cristina
AU - Costa, Andreia
AU - Godinho, Catarina
AU - Brederode, Constança
AU - Mateus, Jéssica
AU - McCormack, Brendan
N1 - Publisher Copyright:
© The Author(s) 2026. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
PY - 2026/1/1
Y1 - 2026/1/1
N2 - Background: The integration of Artificial Intelligence in healthcare is transforming care delivery. While Artificial Intelligence offers efficiency and precision, it also raises ethical concerns about the potential for dehumanization. Maintaining person-centred care, with its emphasis on human dignity, empathy, and relationships, becomes essential in this evolving context. This study aims to identify practical strategies that can help ensure the humanization of care is not compromised amid the ongoing technological transformation. Methods: A qualitative study will be conducted with healthcare professionals, managers, and Artificial Intelligence experts. Participants will be recruited through purposive sampling and invited via digital platforms and academic networks. Semi-structured interviews will be held online, guided by five dimensions of a Person-Centred Practice Framework. Interviews will be audio-recorded, transcribed, and thematically analysed using Braun and Clarke’s method, supported by QDA Miner Lite. Conclusion: By examining diverse perspectives, this study aims to identify strategies for upholding person-centred care in Artificial Intelligence -driven contexts. The findings can support the implementation of ethically responsible Artificial Intelligence that reinforces, rather than diminishes the human aspects of care.
AB - Background: The integration of Artificial Intelligence in healthcare is transforming care delivery. While Artificial Intelligence offers efficiency and precision, it also raises ethical concerns about the potential for dehumanization. Maintaining person-centred care, with its emphasis on human dignity, empathy, and relationships, becomes essential in this evolving context. This study aims to identify practical strategies that can help ensure the humanization of care is not compromised amid the ongoing technological transformation. Methods: A qualitative study will be conducted with healthcare professionals, managers, and Artificial Intelligence experts. Participants will be recruited through purposive sampling and invited via digital platforms and academic networks. Semi-structured interviews will be held online, guided by five dimensions of a Person-Centred Practice Framework. Interviews will be audio-recorded, transcribed, and thematically analysed using Braun and Clarke’s method, supported by QDA Miner Lite. Conclusion: By examining diverse perspectives, this study aims to identify strategies for upholding person-centred care in Artificial Intelligence -driven contexts. The findings can support the implementation of ethically responsible Artificial Intelligence that reinforces, rather than diminishes the human aspects of care.
KW - artificial intelligence
KW - humanization of healthcare
KW - person-centred care
KW - person-centred practice framework
UR - https://www.scopus.com/pages/publications/105027091160
U2 - 10.1177/16094069251404344
DO - 10.1177/16094069251404344
M3 - Article
AN - SCOPUS:105027091160
SN - 1609-4069
VL - 25
JO - International Journal of Qualitative Methods
JF - International Journal of Qualitative Methods
ER -