Application of Design Structure Matrix to Simulate Surgical Procedures and Predict Surgery Duration.

IF 1.3 Q3 SURGERY
Minimally Invasive Surgery Pub Date : 2021-12-06 eCollection Date: 2021-01-01 DOI:10.1155/2021/6340754
Zhaoxuan Li, Derrick Tate, Thomas McGill, John Griswold, Ming-Chien Chyu
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引用次数: 1

Abstract

Background: The complexities of surgery require an efficient and explicit method to evaluate and standardize surgical procedures. A reliable surgical evaluation tool will be able to serve various purposes such as development of surgery training programs and improvement of surgical skills.

Objectives: (a) To develop a modeling framework based on integration of dexterity analysis and design structure matrix (DSM), to be generally applicable to predict total duration of a surgical procedure, and (b) to validate the model by comparing its results with laparoscopic cholecystectomy surgery protocol.

Method: A modeling framework is developed through DSM, a tool used in engineering design, systems engineering and management, to hierarchically decompose and describe relationships among individual surgical activities. Individual decomposed activities are assumed to have uncertain parameters so that a rework probability is introduced. The simulation produces a distribution of the duration of the modeled procedure. A statistical approach is then taken to evaluate surgery duration through integrated numerical parameters. The modeling framework is applied for the first time to analyze a surgery; laparoscopic cholecystectomy, a common surgical procedure, is selected for the analysis.

Results: The present simulation model is validated by comparing its results of predicted surgery duration with the standard laparoscopic cholecystectomy protocols from the Atlas of Minimally Invasive Surgery with 2.5% error and that from the Atlas of Pediatric Laparoscopy and Thoracoscopy with 4% error.

Conclusion: The present model, developed based on dexterity analysis and DSM, demonstrates a validated capability of predicting laparoscopic cholecystectomy surgery duration. Future studies will explore its potential applications to other surgery procedures and in improving surgeons' performance and training novices.

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Abstract Image

设计结构矩阵在外科手术过程模拟及手术时间预测中的应用。
背景:外科手术的复杂性需要一种有效和明确的方法来评估和规范外科手术。一个可靠的手术评估工具将能够服务于各种目的,如制定手术培训计划和提高手术技能。目的:(a)建立一个基于灵巧性分析与设计结构矩阵(DSM)相结合的建模框架,使其普遍适用于预测手术总时间;(b)通过将模型结果与腹腔镜胆囊切除术手术方案进行比较,对模型进行验证。方法:通过工程设计、系统工程和管理中常用的工具DSM,建立一个建模框架,对单个手术活动之间的关系进行分层分解和描述。假定单个分解的活动具有不确定的参数,从而引入了返工概率。仿真生成建模过程持续时间的分布。然后采用统计方法通过综合数值参数来评估手术时间。该建模框架首次应用于手术分析;腹腔镜胆囊切除术,一种常见的外科手术,被选择进行分析。结果:通过将模拟模型的手术时间预测结果与《微创外科图集》中的标准腹腔镜胆囊切除术方案(误差为2.5%)和《儿科腹腔镜胸腔镜图集》中的手术时间预测结果(误差为4%)进行比较,验证了该模型的有效性。结论:本模型基于灵巧性分析和DSM开发,证明了预测腹腔镜胆囊切除术手术时间的有效能力。未来的研究将探索其在其他外科手术、提高外科医生的表现和培训新手方面的潜在应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.00
自引率
0.00%
发文量
8
审稿时长
16 weeks
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