Artificial Intelligence (AI) in Patient–Healthcare Relationships: Psychosocial Perspective | Zendy

Manob Jyoti Saikia | Zendy; Debanjan Borthakur | Zendy

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Artificial Intelligence (AI) in Patient–Healthcare Relationships: Psychosocial Perspective

Author(s) -

Manob Jyoti Saikia,

Debanjan Borthakur

Publication year - 2025

Publication title -

ieee access

Language(s) - English

Resource type - Magazines

SCImago Journal Rank - 0.587

H-Index - 127

eISSN - 2169-3536

DOI - 10.1109/access.2025.3611818

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

As artificial intelligence (AI) becomes increasingly integrated into healthcare–ranging from basic health monitoring tools such as heart rate monitors and sleep tracking apps to advanced systems such as AI–powered software and companion robots, it is vital to better understand how these technologies affect the dynamics of patient–healthcare relationships. This paper aims to provide a comprehensive perspective of existing research examining both the observable and potential effects of AI–enabled technologies on existing relationships and interactions among patients, healthcare providers, and caregivers. It also explores the emerging field of patient–AI engagement. Based on existing research and challenges, this paper proposes a conceptual model, a Healthcare–AI Triadic Relational Model , to facilitate analyze, discuss, and communicate the psychosocial impacts of AI–powered healthcare technologies on these patient–healthcare relationships. The discussion concludes by highlighting key considerations and practical recommendations for the implementing of AI technologies within these relational contexts, aiming to improve therapeutic outcomes and uphold a patient-centered approach to care.

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