Diagnosing barriers to safety and efficiency in robotic surgery

Area of Science:

• Surgical Innovation
• Human Factors Engineering
• Operating Room Management

Background:

• Robotic surgery introduces novel complexities to surgical teamwork.
• Previous analyses identified flow disruptions and contextual factors in robotic procedures.
• A more granular analysis is needed to understand and mitigate these challenges.

Purpose of the Study:

• To conduct a detailed sub-analysis of observational data from da Vinci system procedures.
• To identify and classify specific flow disruptions during robotic surgery.
• To provide actionable insights for improving the efficiency and safety of robotic surgical workflows.

Main Methods:

• Sub-analysis of observational data from 89 da Vinci system procedures.
• Raters sub-classified disruptions based on original notes, categorized by operative phases.
• Combined qualitative and quantitative observational methodologies were employed.

Main Results:

• Key disruptive factors included repeated utterances, supply retrieval, endoscope issues (fogging/matter), and training needs.
• Disruptions varied significantly across different operative phases (pre-robot, docking, console, undocking, finish).
• These variations reflect the differing demands and complexities inherent in each surgical stage.

Conclusions:

• Direct observation effectively identifies undocumented sources of process variation and potential failure in robotic surgery.
• Understanding phase-specific disruptions is crucial for targeted improvements in surgical workflow.
• Future research should integrate human reliability analysis and predictive modeling with observational data.