Cerner Innovation, Inc.

Vikram Anand

William Alexander Landi

Radu Stefan Niculescu

Farbod Rahmanian

William Michael Hasling

Todd W Fritsche

Daniel Antohe

Camille Anne Egan

Bette Jane Reese

Brian Thornton

Muthu Premananth

Glenn Fung

Jan DeHaan

Balaji Krishnapuram

Shipeng Yu

Faisal Farooq

John Haley

Joseph Marcus Overhage

By extracting clinical data of any format from respective different sources, a data repository normalized to a generic format is created. A medical domain specific language may be used to interact with the data repository for identifying cohorts and gaps in care for the respective cohorts. Any rules for finding gaps in care are converted into the medical domain specific language for determining gaps. This standardization in both the data repository and rule application may allow for a true cost and time to value solution accessible to many different medical practices.

Gap in care determination using a generic repository for healthcare

A computer-implemented system, methods and computer storage media are provided for creating extensible data structures for rule based systems to improve complex event processing. An underlying individual data model is accessed and the content is translated to create singleton values to be utilized in complex event processing to improve the execution fo the complex event processing.

Extensible data structures for rule based systems

Adaptive medical data collection for medical entities may involve triggering an analysis of electronic records in response to information input into an Electronic Medical Record (EMR) of a patient. Determining a potential condition for the patient based on the analysis. Identifying additional information indicated as relevant to the potential condition of the patient, and generating a request for the identified additional information.

Adaptive medical documentation system

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Downingtown, PA, United States of America

Vikram Anand