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Strategies for person-centred AI integration : a study protocol

datacite.subject.fosCiências Médicas::Ciências da Saúde
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorFernandes, Júlio Belo
dc.contributor.authorVareta, Diana
dc.contributor.authorFernandes, Sónia
dc.contributor.authorCastro, Cidália
dc.contributor.authorHall, Steven
dc.contributor.authorBaixinho, Cristina
dc.contributor.authorCosta, Andreia
dc.contributor.authorGodinho, Catarina
dc.contributor.authorBrederode, Constança
dc.contributor.authorMateus, Jéssica
dc.contributor.authorMcCormack, Brendan
dc.date.accessioned2026-07-06T11:10:47Z
dc.date.available2026-07-06T11:10:47Z
dc.date.issued2026-01
dc.description.abstractBackground: 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.eng
dc.identifier.citationFernandes, J. B., Vareta, D., Fernandes, S., Castro, C., Hall, S., Baixinho, C., Costa, A., Godinho, C., Brederode, C., Mateus, J., & McCormack, B. (2026). Strategies for Person-Centred AI Integration: A Study Protocol. International Journal of Qualitative Methods, 25. https://doi.org/10.1177/16094069251404344
dc.identifier.doi10.1177/16094069251404344
dc.identifier.issn1609-4069
dc.identifier.urihttp://hdl.handle.net/10400.26/63737
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSage
dc.relation.hasversionhttps://doi.org/10.1177/16094069251404344
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectperson-centred care
dc.subjectperson-centred practice framework
dc.subjectartificial intelligence
dc.subjecthumanization of healthcare
dc.titleStrategies for person-centred AI integration : a study protocoleng
dc.typecontribution to journal
dspace.entity.typePublication
oaire.citation.endPage10
oaire.citation.startPage1
oaire.citation.titleInternational Journal of Qualitative Methods
oaire.citation.volume25
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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