Online Deviation Detection for Medical Processes
Online Deviation Detection for Medical Processes
复制标题
医疗过程的在线偏差检测
DOI：
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复制
发表时间：
2014
期刊：
影响因子：
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通讯作者：
L. Clarke
中科院分区：
文献类型：
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作者：
Stefan Christov;G. Avrunin;L. Clarke
人为错误是许多医疗过程中的主要问题。为了帮助解决这个问题，我们正在研究一种方法，用于自动检测医疗过程的执行者何时偏离由详细的过程模型指定的执行该过程的可接受方式。这种偏差可能代表错误，因此，在发生偏差时检测和报告偏差可以帮助在造成伤害之前捕获错误。在本文中，我们确定了重要的问题，所提出的方法的可行性和经验评估的方法，两个医疗程序，化疗和输血。对于评估，我们使用流程模型来生成示例流程执行，然后使用合成错误进行播种。过程模型描述了在正常和异常情况下不同过程执行者的活动的协调。评估结果表明，所提出的方法可以应用于临床环境中，以帮助在造成伤害之前捕获错误。
Human errors are a major concern in many medical processes. To help address this problem, we are investigating an approach for automatically detecting when performers of a medical process deviate from the acceptable ways of performing that process as specified by a detailed process model. Such deviations could represent errors and, thus, detecting and reporting deviations as they occur could help catch errors before harm is done. In this paper, we identify important issues related to the feasibility of the proposed approach and empirically evaluate the approach for two medical procedures, chemotherapy and blood transfusion. For the evaluation, we use the process models to generate sample process executions that we then seed with synthetic errors. The process models describe the coordination of activities of different process performers in normal, as well as in exceptional situations. The evaluation results suggest that the proposed approach could be applied in clinical settings to help catch errors before harm is done.
DOI：
10.1197/jamia.m1135
发表时间：
2003-01-01
影响因子：
6.4
作者：
Peleg, M;Tu, S;Stefanelli, M
通讯作者：
Stefanelli, M
跨越鸿沟：信息技术到生物医学信息学。
DOI：
10.2310/jim.0b013e31821452bf
发表时间：
2011
期刊：
Journal of investigative medicine : the official publication of the American Federation for Clinical Research
影响因子：
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作者：
Fahy,BrendaG;Balke,CWilliam;Umberger,GloriaH;Talbert,Jeffery;Canales,DeniseNiles;Steltenkamp,CarolL;Conigliaro,Joseph
通讯作者：
Conigliaro,Joseph