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A Modular Architecture for Electronic Health Record-Driven Phenotyping.

Rasmussen LV, Kiefer RC, Mo H, Speltz P, Thompson WK, Jiang G, Pacheco JA, Xu J, Zhu Q, Denny JC, Montague E, Pathak J - AMIA Jt Summits Transl Sci Proc (2015)

Bottom Line: Increasing interest in and experience with electronic health record (EHR)-driven phenotyping has yielded multiple challenges that are at present only partially addressed.Many solutions require the adoption of a single software platform, often with an additional cost of mapping existing patient and phenotypic data to multiple representations.Ongoing development leveraging this proposed architecture has shown its ability to address existing limitations.

View Article: PubMed Central - PubMed

Affiliation: Northwestern University, Chicago, IL.

ABSTRACT
Increasing interest in and experience with electronic health record (EHR)-driven phenotyping has yielded multiple challenges that are at present only partially addressed. Many solutions require the adoption of a single software platform, often with an additional cost of mapping existing patient and phenotypic data to multiple representations. We propose a set of guiding design principles and a modular software architecture to bridge the gap to a standardized phenotype representation, dissemination and execution. Ongoing development leveraging this proposed architecture has shown its ability to address existing limitations.

No MeSH data available.


Authoring component integrated with the Data Model Services for the list of Data Elements
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Related In: Results  -  Collection


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f2-2092220: Authoring component integrated with the Data Model Services for the list of Data Elements

Mentions: In our reference implementation, the Authoring component is a web-based application that queries the Data Model Services for its supported models, allowing it to discover new models as they are introduced (Figure 2). PhEMA’s Data Model Service is a semantic framework that represents QDM elements using the Resource Description Framework (RDF), and provides access via a Linked Open Data API (exposed as REpresentational State Transfer [REST] services). The Authoring component also utilizes Terminology Services to provide access to standard vocabularies using the Common Terminology Services 2 (CTS2, http://informatics.mayo.edu/cts2/) specification. The Authoring component exports QDM-based artifacts, and will establish a bi-directional API with the Validation and Execution systems so a phenotype algorithm may be pushed to and results received from either system, supporting the meta-architecture principle of integration at the user interface and system level.


A Modular Architecture for Electronic Health Record-Driven Phenotyping.

Rasmussen LV, Kiefer RC, Mo H, Speltz P, Thompson WK, Jiang G, Pacheco JA, Xu J, Zhu Q, Denny JC, Montague E, Pathak J - AMIA Jt Summits Transl Sci Proc (2015)

Authoring component integrated with the Data Model Services for the list of Data Elements
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4525215&req=5

f2-2092220: Authoring component integrated with the Data Model Services for the list of Data Elements
Mentions: In our reference implementation, the Authoring component is a web-based application that queries the Data Model Services for its supported models, allowing it to discover new models as they are introduced (Figure 2). PhEMA’s Data Model Service is a semantic framework that represents QDM elements using the Resource Description Framework (RDF), and provides access via a Linked Open Data API (exposed as REpresentational State Transfer [REST] services). The Authoring component also utilizes Terminology Services to provide access to standard vocabularies using the Common Terminology Services 2 (CTS2, http://informatics.mayo.edu/cts2/) specification. The Authoring component exports QDM-based artifacts, and will establish a bi-directional API with the Validation and Execution systems so a phenotype algorithm may be pushed to and results received from either system, supporting the meta-architecture principle of integration at the user interface and system level.

Bottom Line: Increasing interest in and experience with electronic health record (EHR)-driven phenotyping has yielded multiple challenges that are at present only partially addressed.Many solutions require the adoption of a single software platform, often with an additional cost of mapping existing patient and phenotypic data to multiple representations.Ongoing development leveraging this proposed architecture has shown its ability to address existing limitations.

View Article: PubMed Central - PubMed

Affiliation: Northwestern University, Chicago, IL.

ABSTRACT
Increasing interest in and experience with electronic health record (EHR)-driven phenotyping has yielded multiple challenges that are at present only partially addressed. Many solutions require the adoption of a single software platform, often with an additional cost of mapping existing patient and phenotypic data to multiple representations. We propose a set of guiding design principles and a modular software architecture to bridge the gap to a standardized phenotype representation, dissemination and execution. Ongoing development leveraging this proposed architecture has shown its ability to address existing limitations.

No MeSH data available.