Abstract: The clinical analytics platform automates the capture, extraction, and reporting of data required for certain quality measures, provides real-time clinical surveillance, clinical dashboards, tracking lists, and alerts for specific, high-priority conditions, and offers dynamic, ad-hoc quality reporting capabilities. The clinical informatics platform may include a data extraction facility that gathers clinical data from numerous sources, a data mapping facility that identifies and maps key data elements and links data over time, a data normalization facility to normalize the clinical data and, optionally, de-identify the data, a flexible data warehouse for storing raw clinical data or longitudinal patient data, a clinical analytics facility for data mining, analytic model building, patient risk identification, benchmarking, performing quality assurance, and patient tracking, and a graphical user interface for presenting clinical analytics in an actionable format.

Abstract: The clinical analytics platform automates the capture, extraction, and reporting of data required for certain quality measures, provides real-time clinical surveillance, clinical dashboards, tracking lists, and alerts for specific, high-priority conditions, and offers dynamic, ad-hoc quality reporting capabilities. The clinical informatics platform may include a data extraction facility that gathers clinical data from numerous sources, a data mapping facility that identifies and maps key data elements and links data over time, a data normalization facility to normalize the clinical data and, optionally, de-identify the data, a flexible data warehouse for storing raw clinical data or longitudinal patient data, a clinical analytics facility for data mining, analytic model building, patient risk identification, benchmarking, performing quality assurance, and patient tracking, and a graphical user interface for presenting clinical analytics in an actionable format.

Abstract: The clinical analytics platform automates the capture, extraction, and reporting of data required for certain quality measures, provides real-time clinical surveillance, clinical dashboards, tracking lists, and alerts for specific, high-priority conditions, and offers dynamic, ad-hoc quality reporting capabilities. The clinical informatics platform may include a data extraction facility that gathers clinical data from numerous sources, a data mapping facility that identifies and maps key data elements and links data over time, a data normalization facility to normalize the clinical data and, optionally, de-identify the data, a flexible data warehouse for storing raw clinical data or longitudinal patient data, a clinical analytics facility for data mining, analytic model building, patient risk identification, benchmarking, performing quality assurance, and patient tracking, and a graphical user interface for presenting clinical analytics in an actionable format.

Abstract: The clinical analytics platform automates the capture, extraction, and reporting of data required for certain quality measures, provides real-time clinical surveillance, clinical dashboards, tracking lists, and alerts for specific, high-priority conditions, and offers dynamic, ad-hoc quality reporting capabilities. The clinical informatics platform may include a data extraction facility that gathers clinical data from numerous sources, a data mapping facility that identifies and maps key data elements and links data over time, a data normalization facility to normalize the clinical data and, optionally, de-identify the data, a flexible data warehouse for storing raw clinical data or longitudinal patient data, a clinical analytics facility for data mining, analytic model building, patient risk identification, benchmarking, performing quality assurance, and patient tracking, and a graphical user interface for presenting clinical analytics in an actionable format.

Abstract: The clinical analytics platform automates the capture, extraction, and reporting of data required for certain quality measures, provides real-time clinical surveillance, clinical dashboards, tracking lists, and alerts for specific, high-priority conditions, and offers dynamic, ad-hoc quality reporting capabilities. The clinical informatics platform may include a data extraction facility that gathers clinical data from numerous sources, a data mapping facility that identifies and maps key data elements and links data over time, a data normalization facility to normalize the clinical data and, optionally, de-identify the data, a flexible data warehouse for storing raw clinical data or longitudinal patient data, a clinical analytics facility for data mining, analytic model building, patient risk identification, benchmarking, performing quality assurance, and patient tracking, and a graphical user interface for presenting clinical analytics in an actionable format.