Abstract: Systems, methods and computer-readable media for creating and using a health data record. Data relating to a patient's health is received from one or more information sources. The data includes unstructured data and structured data elements. The unstructured data is parsed to identify data elements. At least some of the structured data elements and at least some of the data elements parsed from the unstructured data are normalized to create normalized data elements. A weight is assigned to the normalized data elements. The normalized data elements are mapped in accordance with an ontology. The mapped data is stored in a data repository in accordance with a data model.

Abstract: The systems and methods relate to decision making processes. Data associated with a request for a decision is received. Risks associated with the request are identified. Decision queries associated with each of the identified risks are determined. Any non-standard attributes associated with each of the identified risks are identified. A confidence level threshold for each of the identified risks is determined. A decision recommendation, generated by a machine learning component, is received. The decision recommendation includes a response to each of the one or more decision queries, determined based on the exceptional attributes, if any, and a confidence level associated with the response. The confidence level is compared to the confidence level threshold. Based on the comparison, a decision path for responding to the request is determined. Decision path actions are determined based on the decision path.