Abstract:
Health data may be received in various forms from various sources, and rules may be applied to perform reasoning on the data. In one example, health data from a variety of sources is distilled into a particular representation. Facts (such as conditions with which the patient has been diagnosed, medications that the patient is taking, etc.) are distilled into a particular medical vocabulary. These facts may then be exposed to the expert system through an object model, which applies rules to determine which alerts to issue to a patient. The alerts may then be communicated to the patient. Raw health data may be received in one form, and the raw data may be expressed in one of several standard medical terminologies, so that expert systems that expect to use a particular terminology can perform reasoning on the facts.