Volume 17, Issue 3 , Pages 311-320, May 2010
Use of Modeling to Identify Vulnerabilities to Human Error in Laparoscopy
Abstract
This article describes an exercise to investigate the utility of modeling and human factors analysis in understanding surgical processes and their vulnerabilities to medical error. A formal method to identify error vulnerabilities was developed and applied to a test case of Veress needle insertion during closed laparoscopy. A team of 2 surgeons, a medical assistant, and 3 engineers used hierarchical task analysis and Integrated DEFinition language 0 (IDEF0) modeling to create rich models of the processes used in initial port creation. Using terminology from a standardized human performance database, detailed task descriptions were written for 4 tasks executed in the process of inserting the Veress needle. Key terms from the descriptions were used to extract from the database generic errors that could occur. Task descriptions with potential errors were translated back into surgical terminology. Referring to the process models and task descriptions, the team used a modified failure modes and effects analysis (FMEA) to consider each potential error for its probability of occurrence, its consequences if it should occur and be undetected, and its probability of detection. The resulting likely and consequential errors were prioritized for intervention. A literature-based validation study confirmed the significance of the top error vulnerabilities identified using the method. Ongoing work includes design and evaluation of procedures to correct the identified vulnerabilities and improvements to the modeling and vulnerability identification methods.
Keywords: Laparoscopy, Medical error, Modeling and analysis, Patient safety, Veress needle
To access this article, please choose from the options below
The authors have no commercial, proprietary, or financial interest in the products or companies described in this article.
This study was supported by 2 Erkkila grants (K. H. F. and T. L. D.) from the Samaritan Health Services Foundation, Corvallis, Oregon.
PII: S1553-4650(10)00014-2
doi:10.1016/j.jmig.2010.01.012
© 2010 AAGL. Published by Elsevier Inc. All rights reserved.
Volume 17, Issue 3 , Pages 311-320, May 2010
