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Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

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Generative AI-Assisted Nursing Handover: Enhancing Clinical Data Integration and Work Efficiency.

Yu-Hsuan Tu^1,2, Tzu-Hao Chang¹, Yu-Sheng Lo^1,2

¹Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan.

Studies in Health Technology and Informatics

|August 8, 2025

Summary

Generative AI significantly reduced nursing handover documentation time by over 99% in a three-hospital study. This automation offers a practical solution to decrease nursing workload and enhance efficiency.

Keywords:

Smart handover enhancing nursing quality generative AI nursing shortage patient safety workflow efficiency

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Area of Science:

Healthcare Informatics
Artificial Intelligence in Medicine
Nursing Workflow Optimization

Background:

Nursing handover is critical for patient safety but time-consuming.
Inefficient documentation contributes to significant nursing workload.
Current handover processes may lack standardization and efficiency.

Purpose of the Study:

To evaluate the effectiveness of generative AI in automating nursing handover documentation.
To assess the impact of AI integration on documentation time and nursing efficiency.
To determine the practicality and scalability of AI-driven handover solutions.

Main Methods:

Implementation of a generative AI system integrated with existing nursing information systems.
Deployment across three hospitals within the TMU Health network.
Quantitative analysis of documentation time before and after AI implementation.

Main Results:

Documentation time was reduced by over 99% post-AI integration.
The AI system demonstrated practicality and scalability in real-world hospital settings.
Significant improvements in nursing efficiency were observed.

Conclusions:

Generative AI provides a highly effective solution for automating nursing handover documentation.
AI integration can substantially alleviate nursing workload and improve operational efficiency.
The developed system represents a promising advancement for healthcare informatics and nursing practice.