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Nurses' Lived Experiences of Generative Artificial Intelligence-Enabled Shift Handover Innovation: A Descriptive
Ravi Shankar1, Amaevia Lim2, Qian Xu3
1Clinical Research & Innovation Office, Tan Tock Seng Hospital, National Healthcare Group, Singapore, Singapore.
Journal of Advanced Nursing
|April 24, 2026
Summary
Nurses cautiously embrace generative artificial intelligence (AI) for shift handover, prioritizing accuracy and workflow integration. Their acceptance hinges on AI complementing, not replacing, clinical judgment to enhance patient safety and professional practice.
Area of Science:
- Nursing Informatics
- Artificial Intelligence in Healthcare
- Qualitative Health Research
Background:
- The integration of generative artificial intelligence (AI) into clinical workflows presents novel opportunities and challenges.
- Shift handover is a critical communication process in nursing, susceptible to errors and inefficiencies.
- Understanding nurses' experiences with AI-driven innovations is crucial for successful implementation.
Purpose of the Study:
- To explore the lived experiences of registered nurses using a generative artificial intelligence-enabled shift handover innovation.
- To identify themes related to the adoption, challenges, and perceived impact of AI in nursing handover.
- To inform the development of user-centered strategies for AI implementation in clinical practice.
Main Methods:
- A descriptive phenomenological study was conducted using Husserl's philosophy and Colaizzi's seven-step method.
- Purposive sampling recruited 18 registered nurses from a Singaporean hospital.
- Data were collected through 12 semi-structured interviews and two focus group discussions, analyzed thematically.
Main Results:
- Five themes emerged: the burden of fragmented documentation, navigating technological change with optimism, anchoring innovation in clinical frameworks, anticipating integration barriers, and envisioning enhanced patient safety.
- Nurses expressed a tension between documentation workload and direct patient care responsibilities.
- Acceptance of AI was conditional, emphasizing accuracy, clinical oversight, and seamless workflow integration.
Conclusions:
- Nurses' conditional acceptance of AI reflects a sophisticated professional stance, not outright resistance.
- Findings highlight the need for AI implementation strategies that align with nursing values and practical workflow realities.
- This study provides critical insights for optimizing AI-enabled handover tools to support nursing practice and patient care.
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