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Expression of clinical logic with positive and negative explainability

机译:表达积极和消极解释性的临床逻辑

摘要

Methods, systems, and computer-storage media are provided for providing explainability to an end-user on why a particular patient failed to qualify for a health-related measure. High-level clinical logic explainability rules are generated on top of high-level clinical logic used to identify members of a population who qualify and who do not qualify for the health-related measure. The explainability rules are designed to identify which components in the high-level clinical logic are not satisfied by the patient's health data, and, more specifically, which of the components' sub-criteria disqualified the patient from the health-related measure. The output of the explainability rules is structured into an easy-to-understand format that is presented on a user interface associated with an end-user such as a clinician.
机译:提供了方法,系统和计算机存储介质,以向最终用户提供有关特定患者为何不符合健康相关措施资格的解释性。高级临床逻辑可解释性规则是在高级临床逻辑的基础上生成的,这些规则用于识别符合条件的人和不符合健康相关措施的人群。可解释性规则旨在确定患者的健康数据不满足高级临床逻辑中的哪些组成部分,更具体地讲,哪些组成部分子标准使患者失去与健康相关的措施的资格。可解释性规则的输出被构造为易于理解的格式,该格式呈现在与诸如临床医生等最终用户相关联的用户界面上。

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