Expression of clinical logic with positive and negative explainability
Abstract:
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.
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