Strategies for Person-Centred AI Integration: A Study Protocol

Abstract

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.

Ähnliche Arbeiten