A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution

Guoqian Jiang; Harold R. Solbrig; Richard Kiefer; Luke V. Rasmussen; Huan Mo; Peter Speltz; William K. Thompson; Joshua C. Denny; Christopher G. Chute; Jyotishman Pathak

doi:10.3233/978-1-61499-564-7-1098

A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution

Guoqian Jiang^*, Harold R. Solbrig, Richard Kiefer, Luke V. Rasmussen, Huan Mo, Peter Speltz, William K. Thompson, Joshua C. Denny, Christopher G. Chute, Jyotishman Pathak

^*Corresponding author for this work

Medicine, General Medicine Division

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

This study describes our efforts in developing a standards-based semantic metadata repository for supporting electronic health record (EHR)-driven phenotype authoring and execution. Our system comprises three layers: 1) a semantic data element repository layer; 2) a semantic services layer; and 3) a phenotype application layer. In a prototype implementation, we developed the repository and services through integrating the data elements from both Quality Data Model (QDM) and HL7 Fast Healthcare Inteoroperability Resources (FHIR) models. We discuss the modeling challenges and the potential of our system to support EHR phenotype authoring and execution applications.

Original language	English (US)
Title of host publication	MEDINFO 2015
Subtitle of host publication	eHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics
Editors	Andrew Georgiou, Indra Neil Sarkar, Paulo Mazzoncini de Azevedo Marques
Publisher	IOS Press
Pages	1098
Number of pages	1
ISBN (Electronic)	9781614995630
DOIs	https://doi.org/10.3233/978-1-61499-564-7-1098
State	Published - 2015
Event	15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 - Sao Paulo, Brazil Duration: Aug 19 2015 → Aug 23 2015

Publication series

Name	Studies in Health Technology and Informatics
Volume	216
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Other

Other	15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
Country/Territory	Brazil
City	Sao Paulo
Period	8/19/15 → 8/23/15

Funding

Keywords

Clinical Phenotyping
HL7 FHIR
Metadata Repository
Quality Data Model (QDM)

ASJC Scopus subject areas

Health Information Management
Health Informatics
Biomedical Engineering

Access to Document

10.3233/978-1-61499-564-7-1098

Cite this

Jiang, G., Solbrig, H. R., Kiefer, R., Rasmussen, L. V., Mo, H., Speltz, P., Thompson, W. K., Denny, J. C., Chute, C. G., & Pathak, J. (2015). A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution. In A. Georgiou, I. N. Sarkar, & P. M. de Azevedo Marques (Eds.), MEDINFO 2015: eHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics (pp. 1098). (Studies in Health Technology and Informatics; Vol. 216). IOS Press. https://doi.org/10.3233/978-1-61499-564-7-1098

Jiang, Guoqian ; Solbrig, Harold R. ; Kiefer, Richard et al. / A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution. MEDINFO 2015: eHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics. editor / Andrew Georgiou ; Indra Neil Sarkar ; Paulo Mazzoncini de Azevedo Marques. IOS Press, 2015. pp. 1098 (Studies in Health Technology and Informatics).

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title = "A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution",

abstract = "This study describes our efforts in developing a standards-based semantic metadata repository for supporting electronic health record (EHR)-driven phenotype authoring and execution. Our system comprises three layers: 1) a semantic data element repository layer; 2) a semantic services layer; and 3) a phenotype application layer. In a prototype implementation, we developed the repository and services through integrating the data elements from both Quality Data Model (QDM) and HL7 Fast Healthcare Inteoroperability Resources (FHIR) models. We discuss the modeling challenges and the potential of our system to support EHR phenotype authoring and execution applications.",

keywords = "Clinical Phenotyping, HL7 FHIR, Metadata Repository, Quality Data Model (QDM)",

author = "Guoqian Jiang and Solbrig, {Harold R.} and Richard Kiefer and Rasmussen, {Luke V.} and Huan Mo and Peter Speltz and Thompson, {William K.} and Denny, {Joshua C.} and Chute, {Christopher G.} and Jyotishman Pathak",

note = "Publisher Copyright: {\textcopyright} 2015 IMIA and IOS Press.; 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 ; Conference date: 19-08-2015 Through 23-08-2015",

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doi = "10.3233/978-1-61499-564-7-1098",

language = "English (US)",

series = "Studies in Health Technology and Informatics",

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Jiang, G, Solbrig, HR, Kiefer, R, Rasmussen, LV, Mo, H, Speltz, P, Thompson, WK, Denny, JC, Chute, CG & Pathak, J 2015, A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution. in A Georgiou, IN Sarkar & PM de Azevedo Marques (eds), MEDINFO 2015: eHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics. Studies in Health Technology and Informatics, vol. 216, IOS Press, pp. 1098, 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015, Sao Paulo, Brazil, 8/19/15. https://doi.org/10.3233/978-1-61499-564-7-1098

A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution. / Jiang, Guoqian; Solbrig, Harold R.; Kiefer, Richard et al.
MEDINFO 2015: eHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics. ed. / Andrew Georgiou; Indra Neil Sarkar; Paulo Mazzoncini de Azevedo Marques. IOS Press, 2015. p. 1098 (Studies in Health Technology and Informatics; Vol. 216).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Jiang, Guoqian

AU - Solbrig, Harold R.

AU - Kiefer, Richard

AU - Rasmussen, Luke V.

AU - Mo, Huan

AU - Speltz, Peter

AU - Thompson, William K.

AU - Denny, Joshua C.

AU - Chute, Christopher G.

AU - Pathak, Jyotishman

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N2 - This study describes our efforts in developing a standards-based semantic metadata repository for supporting electronic health record (EHR)-driven phenotype authoring and execution. Our system comprises three layers: 1) a semantic data element repository layer; 2) a semantic services layer; and 3) a phenotype application layer. In a prototype implementation, we developed the repository and services through integrating the data elements from both Quality Data Model (QDM) and HL7 Fast Healthcare Inteoroperability Resources (FHIR) models. We discuss the modeling challenges and the potential of our system to support EHR phenotype authoring and execution applications.

AB - This study describes our efforts in developing a standards-based semantic metadata repository for supporting electronic health record (EHR)-driven phenotype authoring and execution. Our system comprises three layers: 1) a semantic data element repository layer; 2) a semantic services layer; and 3) a phenotype application layer. In a prototype implementation, we developed the repository and services through integrating the data elements from both Quality Data Model (QDM) and HL7 Fast Healthcare Inteoroperability Resources (FHIR) models. We discuss the modeling challenges and the potential of our system to support EHR phenotype authoring and execution applications.

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KW - HL7 FHIR

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A2 - Georgiou, Andrew

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ER -

Jiang G, Solbrig HR, Kiefer R, Rasmussen LV, Mo H, Speltz P et al. A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution. In Georgiou A, Sarkar IN, de Azevedo Marques PM, editors, MEDINFO 2015: eHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics. IOS Press. 2015. p. 1098. (Studies in Health Technology and Informatics). doi: 10.3233/978-1-61499-564-7-1098

A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution

Abstract

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Funding

Keywords

ASJC Scopus subject areas

Access to Document

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