Skip to content
Review Open access

Reframing Person-Centered Fundamental Care in the Age of Artificial Intelligence, Robotics and Posthumanization: A Theory-Informed Narrative Review

Aug 2026 · Journal of Multidisciplinary Healthcare · Vol 19, pp. 1-13 · 0 citations · 73 references
Medicine

TL;DR

A theory-informed narrative review reconceptualizes person-centered fundamental care through posthumanization in nursing and proposes relational augmentation as an evaluative framework, providing a practical basis for evaluating whether technological innovation preserves trust, dignity, equity, contextual understanding, and professional judgment in person-centered fundamental care.

Abstract

Abstract Population aging, chronic illness, workforce shortages, and rapid adoption of artificial intelligence (AI), robotics, virtual nursing, remote monitoring, and digital platforms are reshaping fundamental care. Yet existing literature focuses mainly on technical performance, implementation, and ethical risk, with limited attention to how technology alters the relational conditions of person-centered care. This theory-informed narrative review synthesized multidisciplinary literature identified through PubMed, CINAHL, Scopus, and Web of Science, supplemented by reference-list screening and purposive inclusion of seminal works. Seventy-eight empirical, review, conceptual, ethical, policy, and methodological sources informed the synthesis. The review reconceptualizes person-centered fundamental care through posthumanization in nursing—a socio-technical condition in which care practices, judgment, and relationships are increasingly co-produced by human and technological actors—and proposes relational augmentation as an evaluative framework. The synthesis indicates that task substitution is inadequate because it privileges efficiency, standardization, and replacement over interpretation, dignity, and relationship. Relational augmentation instead asks whether technologies strengthen relationship support, integrated recognition of need, and a supportive care context. Across monitoring and prediction, documentation and workflow, communication and education, social robotics, and virtual nursing, the framework identifies both functional benefits and relational risks. It provides a practical basis for evaluating whether technological innovation preserves trust, dignity, equity, contextual understanding, and professional judgment in person-centered fundamental care.

Read PDF

Similar papers

Review Open access Sep 2026

Evidence-Grounded, Role-Adaptive Conversational AI for Occupational Therapists and Caregivers in Neurodevelopmental Care: A Comprehensive Narrative Review and Sociotechnical Reference Architecture

Generative conversational AI can make health information easier to access, but its responses may still be unsupported, outdated, or poorly matched to the user. These risks are important in neurodevelopmental care, where occupational therapists and parents or caregivers require different levels of detail, language, and...

Pantelis Pergantis, Konstantinos Georgiou, N. Bardis et al. · 0 citations
Review Open access Sep 2026

The Functional Requirements of Person-Centred Fundamental Care: Evaluating Artificial Intelligence and Robotics Against a Depleted Baseline.

AIM To propose provisional, theory-informed questions for evaluating whether artificial intelligence and robotic deployments support person-centred fundamental care when current practice is depleted. DESIGN Discursive theoretical paper. METHODS Purposive conceptual synthesis of fundamental care scholarship, selecte...

R. Blenis · 0 citations
Review Sep 2026

The symbiotic shift: How AI is reshaping rehabilitation and the future of work.

BackgroundThe rapid integration of Artificial Intelligence (AI) into healthcare and industry is often framed as a threat to human roles. Within rehabilitation and occupational health, this polarized discourse risks obscuring more nuanced possibilities for human-AI collaboration.ObjectiveThis article challenges the domi...

Hasham Khaleel Al Musawi · 0 citations
#generative ai Review Open access Sep 2026

Emotional Reliance on Artificial Intelligence: A Scoping Review of AI Companionship and Mental Health Implications

Eotional reliance on AI represents an emerging clinical phenomenon with addiction-like features requiring specific diagnostic frameworks, evidence-based interventions, and ethical design guidelines and future research should prioritize longitudinal studies examining developmental impacts and neurobiological investigati...

M. Lastretti, M. Manchia, Matteo Fraschini et al. · 0 citations
Editorial Aug 2026

Column of Design for Human Well-Being: A Psychological-Artificial Intelligence Approach

This column encourages studies that examine responsible AI design, explainable and trustworthy AI, ethical governance, and human-centered approaches that preserve dignity, autonomy, and psychological well-being.

Ding-Guo Gao · 0 citations
#small language model Review Open access Sep 2026

Conversational Artificial Intelligence in Pediatric Occupational Therapy: A Comprehensive Narrative Review of Emerging Applications, Transferable Evidence, and Future Directions

Background: Conversational artificial intelligence (AI), including chatbots, large language models, virtual agents, and embodied conversational systems, is increasingly being introduced into healthcare, rehabilitation, education, and professional practice. In pediatric occupational therapy, these technologies could pot...

Pantelis Pergantis, N. Bardis, Charalabos Skianis et al. · 1 citation

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.