Supplementary File 1: AI-Enhanced OR Quality Model Evaluation at a Single Center, 2024

Supplementary file 1 contains the manuscript for a prospective single-center study evaluating an AI-enhanced three-dimensional integrated quality model for operating room management. The study was conducted at Sir Run Run Shaw Hospital in Hangzhou, China, from January 2024 to December 2024, involving 347 equipment units and 156 OR staff. The document reports results including a 37.1% reduction in equipment downtime and a 92.8% accuracy for a predictive failure algorithm.

Use Cases

• Evaluating the impact of integrated AI models on operating room efficiency based on reported metrics like room turnover time and staff efficiency index.
• Developing predictive maintenance algorithms for medical equipment based on the described IoT sensor data and 92.8% accuracy result.
• Analyzing the relationship between protocol adherence, technology integration, and system performance based on the multivariate analysis results.

Strengths

• Study reports specific, statistically significant results, including a 37.1% decrease in equipment downtime and a 25.3% increase in staff efficiency index.
• The predictive failure algorithm achieved a reported 92.8% accuracy with an AUC-ROC of 0.94.
• Data is associated with a defined prospective study at a single medical center over a one-year period (2024).

Limitations

• The dataset is a 34.5 KB DOCX file, which is a small document likely containing a manuscript rather than the underlying raw data.
• Row count and column-level documentation for any underlying data are unknown, limiting suitability assessment.
• Findings are from a single-center pre-post study design, which may limit generalizability.

Provenance

Source

Luping Li, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine.

Collection Method

Prospective single-center study using IoT sensors, electronic health records, and validated assessment tools.

Time Range

January 2024 to December 2024.

Freshness

Last updated 2026-05-26 10:10:06.

Geography

Hangzhou, China.