Artificial intelligence-based intelligent surveillance for reducing nurses' working hours in nurse-patient...

Area of Science:

• Nursing Informatics
• Artificial Intelligence in Healthcare
• Patient Monitoring Systems

Background:

• The healthcare industry is rapidly integrating artificial intelligence (AI), with significant potential in nursing care.
• Current AI methods lack efficiency in improving nurse-patient interactions, which are time-consuming for nurses.

Purpose of the Study:

• To assess the feasibility of using AI in nurse-patient interactions.
• To determine if AI can help nurses understand patient status better and reduce working hours.

Main Methods:

• Development of an AI-based intelligent surveillance system.
• A two-wave follow-up study design in a Chinese nursing home.
• Data collection before and after AI deployment, using the same patients and nurses.

Main Results:

• AI surveillance provided intuitive statistical health data, improving nurses' grasp of patient status.
• Average nurse-patient interaction time decreased from 18 to 10 minutes per patient.
• AI's real-time response to abnormal patient health status prevented secondary injuries and reduced nurse workload.

Conclusions:

• AI shows great potential in reducing nurses' working hours during patient interactions.
• Current AI limitations mean it cannot completely replace human nurses but serves as a valuable decision-support tool.
• Nursing managers and staff should embrace AI for enhanced nursing management and daily interactions.