Purpose: For the purpose of preventing recurrence of general anesthesia related accidents and for promoting further medical safety, medical precedents related to general anesthesia have been collected and probed into the causes and measures of the accidents, considering methods for them by utilizing P-m SHELL model (P: Patient, m: management, S: Software, E: Environment, L1: Liveware, L2: other Liveware), which is an analyzing model for medical accidents.
Methods: The judicial precedents associated with general anesthesia were collected utilizing online database and electronic data book, based on the key-words of general anesthesia, anesthetics and anesthesiologist. The extracted data were classified according to their contents and then their causes were analyzed by using P-m SHELL model. Finally the causes of the accidents and measures for them were discussed with literature review.
Results: As a result of analyzing the precedents by utilizing P-m SHELL, the greatest percentage of the accidents were caused by L factor. After L factor, P-factor, m-factor, and H-factor followed. No doctors’errors were judged at all in the precedents caused by P factor. On the other hand, doctors’errors were judged in all the precedents in which doctors’errors (L factor) had been clearly shown.
Conclusion: It is essential for anesthesiologists to assess the patient risk appropriately and to avoid the human errors. Also it is important to improve m, H, S, and E factors so as to prevent accidents caused by L and P factors. The P-m SHELL model is considered useful since it can be helpful to extract the various causes of accidents in the background.
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