Analysis of surgical intervention populations using generic surgical process models

Area of Science:

• Medical Engineering
• Medical Informatics
• Health Services Research

Background:

• Surgical interventions exhibit significant variability due to patient factors, surgeon performance, and technology.
• Current methods lack the ability to generate and compare statistical
• mean
• surgical procedures.

Purpose of the Study:

• To introduce a novel method for calculating a statistical
• mean
• surgical intervention model (gSPM).
• To demonstrate the computation and comparison of gSPMs using real-world surgical data.
• To provide enhanced evidence for clinical, technical, and administrative decision-making in surgery.

Main Methods:

• Developed a method to compute generic Surgical Process Models (gSPMs) from individual patient surgical treatments.
• Applied the method to 102 cataract interventions, categorizing them into ambulatory and inpatient groups.
• Quantified statistical differences between gSPMs for ambulatory and inpatient procedures, focusing on the Capsulorhexis phase.

Main Results:

• Identified statistically significant differences in performance times and activity sequences between ambulatory and inpatient gSPMs.
• Successfully reconstructed the general recommended clinical workflow from individual Surgical Process Models.
• Demonstrated the feasibility of quantifying variations in surgical procedures through gSPM analysis.

Conclusions:

• The computation of gSPMs represents a novel approach in medical engineering and informatics.
• gSPMs offer valuable insights for optimizing surgical strategies, technology investments, and educational programs.
• This methodology holds potential for developing advanced surgical workflow management systems for future operating rooms.