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Artificial Intelligence-Supported Virtual Nursing at Home: A Systematic Review
Gennaro Laus1, Gabriella Spagnuolo2
11Department of Services, Istituto di Ricovero e Cura a Carattere Scientifico Centro di Riferimento Oncologico della Basilicata (IRCCS CROB), Rionero in Vulture, Italy.
Florence Nightingale Journal of Nursing
|July 30, 2026
Summary
Artificial intelligence (AI) chatbots show promise in home nursing care, improving patient adherence and outcomes. However, challenges in training and technology integration need addressing for wider AI adoption.
Area of Science:
- Nursing Informatics
- Digital Health
- Artificial Intelligence in Healthcare
Background:
- Home nursing care faces challenges in monitoring and patient adherence.
- Integrating technology is crucial for advancing healthcare delivery.
Purpose of the Study:
- To evaluate artificial intelligence (AI)-based chatbots in virtual nursing care at home.
- To compare AI chatbots with traditional care regarding therapeutic adherence and clinical outcomes.
Main Methods:
- A systematic review was conducted following PRISMA guidelines.
- Searched PubMed and Cochrane Library for studies published since 2020.
- Included six studies on AI in home nursing consultation.
Main Results:
- AI chatbots enhance monitoring, therapeutic adherence, and healthcare access.
- AI models improved nutritional indicators and reduced risk in chronic kidney disease patients.
- Smart home systems and medication robots improved clinical event detection, nurse decision-making, workload, and safety.
Conclusions:
- AI integration in home nursing shows promising results for patient care.
- Identified benefits include improved monitoring and adherence, but limitations in training and infrastructure exist.
- Further clinical research is needed to validate AI-based nursing chatbots in home care.
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