Evaluation of a Multi-Agent Collaborative System for Operating Room Nursing

A 2026 study by Yifang Li evaluates the efficacy of an operating room intelligent collaborative management system. The system, designed with five position-mapped agents, was tested via simulated scenarios and a survey of 86 medical staff. It achieved success rates between 85.0% and 95.0% for various operational challenges.

Use Cases

• Evaluate process optimization in clinical settings based on the system's simulated scenario tests
• Assess decision support tools for nursing teams based on the survey's 'decision support value' metric
• Study the integration of knowledge-driven and data-driven intelligence in healthcare based on the system's Graph RAG and AutoML engines

Strengths

• Evaluation includes quantitative success rates (e.g., 95.0% for resource conflicts) from simulated tests
• Survey results from 86 medical staff provide clinical acceptance metrics, such as an overall satisfaction score of 4.32 ± 0.51

Limitations

• The dataset is a 16.4 KB document describing a study; the underlying system data or raw survey results are not included
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

figshare

Collection Method

Simulated scenario tests and a 5-point Likert scale survey conducted with 86 medical staff.

Freshness

Last updated 2026-06-03 04:47:19; freshness should be verified