Abstract: A diagnostic care coordination system assists a caregiver with treating a patient. The system comprises a diagnostic engine and a care engine. The diagnostic engine is configured to generate a working diagnosis of the patient. The diagnostic engine includes a static diagnosing web containing a plurality of information nodes and a dynamic diagnosing analyzer for presenting to a user a plurality of information requests. The dynamic diagnosing analyzer navigates a user through the plurality of information nodes of the static diagnosing web based upon received responses to said plurality of information requests. Based upon a route through the static diagnosing web as taken by the dynamic diagnosing analyzer, the diagnostic engine generates the working diagnosis. The care engine determines a treatment plan based upon said working diagnosis.

Abstract: A diagnostic care coordination system assists a caregiver with treating a patient. The system comprises a diagnostic engine and a care engine. The diagnostic engine is configured to generate a working diagnosis of the patient. The diagnostic engine includes a static diagnosing web containing a plurality of information nodes and a dynamic diagnosing analyzer for presenting to a user a plurality of information requests. The dynamic diagnosing analyzer navigates a user through the plurality of information nodes of the static diagnosing web based upon received responses to said plurality of information requests. Based upon a route through the static diagnosing web as taken by the dynamic diagnosing analyzer, the diagnostic engine generates the working diagnosis. The care engine determines a treatment plan based upon said working diagnosis.

Abstract: Methods, computer systems, and computer readable media for transforming raw healthcare data into relevant healthcare data are provided. Transformation of raw healthcare data into relevant data is accomplished by receiving raw data from a plurality of disparate data sources, indexing the data, and mapping the data. Embodiments transform raw data into relevant data through the use of natural language processing, synonymy and ontology mapping, and adaptive knowledge processing. The relevant data is stored in a one record that includes information necessary to understand and represent that patient.

Abstract: A diagnostic care coordination system assists a caregiver with treating a patient. The system comprises a diagnostic engine and a care engine. The diagnostic engine is configured to generate a working diagnosis of the patient. The diagnostic engine includes a static diagnosing web containing a plurality of information nodes and a dynamic diagnosing analyzer for presenting to a user a plurality of information requests. The dynamic diagnosing analyzer navigates a user through the plurality of information nodes of the static diagnosing web based upon received responses to said plurality of information requests. Based upon a route through the static diagnosing web as taken by the dynamic diagnosing analyzer, the diagnostic engine generates the working diagnosis. The care engine determines a treatment plan based upon said working diagnosis.

Abstract: A diagnostic care coordination system assists a caregiver with treating a patient. The system comprises a diagnostic engine and a care engine. The diagnostic engine is configured to generate a working diagnosis of the patient. The diagnostic engine includes a static diagnosing web containing a plurality of information nodes and a dynamic diagnosing analyzer for presenting to a user a plurality of information requests. The dynamic diagnosing analyzer navigates a user through the plurality of information nodes of the static diagnosing web based upon received responses to said plurality of information requests. Based upon a route through the static diagnosing web as taken by the dynamic diagnosing analyzer, the diagnostic engine generates the working diagnosis. The care engine determines a treatment plan based upon said working diagnosis.

Abstract: Methods, computer systems, and computer readable media for transforming raw healthcare data into relevant healthcare data are provided. Transformation of raw healthcare data into relevant data is accomplished by receiving raw data from a plurality of disparate data sources, indexing the data, and mapping the data. Embodiments transform raw data into relevant data through the use of natural language processing, synonymy and ontology mapping, and adaptive knowledge processing. The relevant data is stored in a one record that includes information necessary to understand and represent that patient.

Abstract: Methods, computer systems, and computer readable media for transforming raw healthcare data into relevant healthcare data are provided. Transformation of raw healthcare data into relevant data is accomplished by receiving raw data from a plurality of disparate data sources, indexing the data, and mapping the data. Embodiments transform raw data into relevant data through the use of natural language processing, synonymy and ontology mapping, and adaptive knowledge processing. The relevant data is stored in a one record that includes information necessary to understand and represent that patient.

Abstract: A diagnostic care coordination system assists a caregiver with treating a patient. The system comprises a diagnostic engine and a care engine. The diagnostic engine is configured to generate a working diagnosis of the patient. The diagnostic engine includes a static diagnosing web containing a plurality of information nodes and a dynamic diagnosing analyzer for presenting to a user a plurality of information requests. The dynamic diagnosing analyzer navigates a user through the plurality of information nodes of the static diagnosing web based upon received responses to said plurality of information requests. Based upon a route through the static diagnosing web as taken by the dynamic diagnosing analyzer, the diagnostic engine generates the working diagnosis. The care engine determines a treatment plan based upon said working diagnosis.

Abstract: Methods, computer systems, and computer readable media for a provider care card graphical user interface are provided. The provider care card comprises a requirements display area configured to display at least one or more clinical measures relating to at least one patient, a measurements display area configured to display one or more measurements completed for one or more clinical measures relating to at least one patient, a first plurality of microdisplays configured to display a first visual indicator for each of the clinical measures that has been met, and a second plurality of microdisplays configured to display a second visual indicator for each of the clinical measures that has not been met.

Abstract: Methods, computer systems, and computer readable media for transforming raw healthcare data into relevant healthcare data are provided. Transformation of raw healthcare data into relevant data is accomplished by receiving raw data from a plurality of data collectors, where the plurality of data collectors extract the raw data from a plurality of raw data sources, and sorting the raw data into unstructured raw data, structured data of non-standard nomenclature, and structured data of standard nomenclature. The data is transformed into relevant data through the use of natural language processing, nomenclature and ontology mapping, and adaptive knowledge processing. The relevant data is stored in a plurality of data repositories, and computer applications and services are allowed access to the plurality of data repositories.

Abstract: Methods, computer systems, and computer readable media for a provider care card graphical user interface are provided. The provider care card comprises a requirements display area configured to display at least one or more clinical measures relating to at least one patient, a measurements display area configured to display one or more measurements completed for one or more clinical measures relating to at least one patient, a first plurality of microdisplays configured to display a first visual indicator for each of the clinical measures that has been met, and a second plurality of microdisplays configured to display a second visual indicator for each of the clinical measures that has not been met.