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首页> 外文期刊>Journal of clinical monitoring and computing >Learning about new anesthetics using a model driven, full human simulator.
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Learning about new anesthetics using a model driven, full human simulator.

机译：Learning about new anesthetics using a model driven, full human simulator.

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OBJECTIVE: New pharmacological agents are introduced into medical practice at an ever-increasing pace. Teaching how to use new medications in the clinical setting presents educational challenges and puts patients at risk. METHODS: Patients and clinical settings in which remifentanil might provide clinical advantages over existing anesthetics were identified. A simulator curriculum was developed to demonstrate the use of remifentanil in the sample cases. The simulation was designed to highlight the clinical advantages and potential side effects of remifentanil. A screen displaying the concentrations of remifentanil in plasma and in the hypothetical effector site was developed. A simulator was modified (addition of an infusion pump and a pharmacokinetic screen display) and transported to several cities in the U.S.A. An instructor guided small groups of anesthesiologists and anesthetists through a structured program that enabled participants to observe drug effects in simulated patients. RESULTS: There were 836 participants in the remifentanil program, which was offered in 58 cities in the U.S.A. Surveys were completed by 574 anesthesiologists. There was a significant difference in comfort level for using remifentanil after the session compared to before (Chi-square, p < 0.001.) The statement: "Clinical simulation experience is a means to learn about new agents like remifentanil" was rated as "excellent" by 81% and as good not useful. introducing new drugs to the medical community and is perceived by anesthesia providers as a valuable addition to available teaching methods.

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