Abstract: Systems, methods, and devices are described for classifying and answering medical inquiries based on machine-generated data resources and machine learning models. A CCDA document including clinical information and observations of a patient are received from a requestor and utilized to generate a FHIR model instance specific to the CCDA document. Question text having medical inquires for the patient, and received with the CCDA document, is processed by a machine learning model to determine question categories for the medical inquiries which are utilized to map the inquires to objects of the model instance using another machine learning model. The model instance is queried based on the mapping to return values associated with the inquiries. The values are transmitted back to the requestor.

Abstract: Systems and methods, as well as devices, are described for clinical resource generation. CCDA documents that include clinical information and observations are utilized to generate FHIR model instances that are specific to the CCDA documents. Path definitions are assigned for each information-value pair the CCDA documents that define mappings between the information-value pairs and objects of FHIR model instances. Objects for the instance models are created, and values are provided to the objects representative of the information-value pairs. Groups of objects are provided in FHIR resource bundles that are stored in a database which may be queried against to provide specific FHIR resources upon request. Requests for clinical information may be used to trigger the generation of the FHIR resource bundles.

Abstract: Systems and methods, as well as devices, are described for clinical resource generation. CCDA documents that include clinical information and observations are utilized to generate FHIR model instances that are specific to the CCDA documents. Path definitions are assigned for each information-value pair the CCDA documents that define mappings between the information-value pairs and objects of FHIR model instances. Objects for the instance models are created, and values are provided to the objects representative of the information-value pairs. Groups of objects are provided in FHIR resource bundles that are stored in a database which may be queried against to provide specific FHIR resources upon request. Requests for clinical information may be used to trigger the generation of the FHIR resource bundles.