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Application of Design Structure Matrix to Simulate Surgical Procedures and Predict Surgery Duration
Zhaoxuan Li1, Derrick Tate1,2, Thomas McGill3
1Healthcare Engineering Graduate Program, Lubbock, TX, USA.
Minimally Invasive Surgery
|December 16, 2021
Summary
A new model integrating dexterity analysis and Design Structure Matrix (DSM) accurately predicts surgical procedure duration. This tool can enhance surgical training and skill development.
Area of Science:
- Engineering
- Systems Engineering
- Surgical Science
Background:
- Surgical procedures require standardized evaluation methods for training and skill enhancement.
- Current methods lack efficiency and explicitness in evaluating surgical complexities.
Purpose of the Study:
- Develop a generalizable modeling framework integrating dexterity analysis and Design Structure Matrix (DSM).
- Predict the total duration of surgical procedures.
- Validate the model using laparoscopic cholecystectomy.
Main Methods:
- Utilized DSM to hierarchically decompose surgical activities and their relationships.
- Incorporated rework probability due to uncertain activity parameters.
- Employed simulation to generate procedure duration distributions and statistical analysis for evaluation.
Main Results:
- The developed model accurately predicted laparoscopic cholecystectomy duration.
- Validation against surgical atlases showed low error rates (2.5% and 4%).
Conclusions:
- The dexterity analysis and DSM-based model is validated for predicting surgical duration.
- Potential applications include other surgical procedures and surgeon performance improvement.

