Abstract: Automated diagnosis archetypes based on a complete list of library of medical illnesses are used dynamically to help prioritize health data that is relevant to a physician's medical diagnosis for a patient. A super plurality of diagnoses patient archetypes are narrowed to match a patient profile based on information collected from different sources. Based on dynamic physician's diagnosis, the patient profile is mapped to a subset of plurality of patient archetypes. An automated agent is employed to customize a user interface to emphasize order selections to support eliminating a false positive in the proper subset of the plurality of patient persons, a false negative in the plurality of patient archetypes, or to increase a predicted applicability of a set of patient archetypes to the patient profile. The subset of patient archetypes ranking is updated based on received order results. A confirmed dynamic physician diagnosis is made available.

Abstract: Automated diagnosis archetypes based on a complete list of library of medical illnesses are used dynamically to help prioritize health data that is relevant to a physician's medical diagnosis for a patient. A super plurality of diagnoses patient archetypes are narrowed to match a patient profile based on information collected from different sources. Based on dynamic physician's diagnosis, the patient profile is mapped to a subset of plurality of patient archetypes. An automated agent is employed to customize a user interface to emphasize order selections to support eliminating a false positive in the proper subset of the plurality of patient persons, a false negative in the plurality of patient archetypes, or to increase a predicted applicability of a set of patient archetypes to the patient profile. The subset of patient archetypes ranking is updated based on received order results. A confirmed dynamic physician diagnosis is made available.