Harmonization of detailed clinical models with clinical study data standards

Guoqian D Jiang, J. Evans, T. A. Oniki, J. F. Coyle, L. Bain, S. M. Huff, R. D. Kush, C. G. Chute

Research output: Contribution to journalArticle

12 Scopus citations

Abstract

Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on “Managing Interoperability and Complexity in Health Systems”.

Background: Data sharing and integration between the clinical research data management system and the electronic health record system remains a challenging issue. To approach the issue, there is emerging interest in utilizing the Detailed Clinical Model (DCM) approach across a variety of contexts. The Intermountain Healthcare Clinical Element Models (CEMs) have been adopted by the Office of the National Coordinator awarded Strategic Health IT Advanced Research Projects for normalization (SHARPn) project for normalizing patient data from the electronic health records (EHR).

Objective: The objective of the present study is to describe our preliminary efforts toward harmonization of the SHARPn CEMs with CDISC (Clinical Data Interchange Standards Consortium) clinical study data standards.

Methods: We were focused on three generic domains: demographics, lab tests, and medications. We performed a panel review on each data element extracted from the CDISC templates and SHARPn CEMs. Results: We have identified a set of data elements that are common to the context of both clinical study and broad secondary use of EHR data and discussed outstanding harmonization issues.

Conclusions: We consider that the outcomes would be useful for defining new requirements for the DCM modeling community and ultimately facilitating the semantic interoperability between systems for both clinical study and broad secondary use domains.

Original languageEnglish (US)
Pages (from-to)65-74
Number of pages10
JournalMethods of Information in Medicine
Volume54
Issue number1
DOIs
StatePublished - 2015

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Keywords

  • Clinical Data Interchange Standards Consortium (CDISC)
  • Clinical Information Modeling Initiative (CIMI)
  • Clinical study
  • Data stand - Ards
  • Detailed Clinical Model (DCM)
  • Electronic health records (EHR)

ASJC Scopus subject areas

  • Health Informatics
  • Health Information Management
  • Advanced and Specialized Nursing

Cite this

Jiang, G. D., Evans, J., Oniki, T. A., Coyle, J. F., Bain, L., Huff, S. M., Kush, R. D., & Chute, C. G. (2015). Harmonization of detailed clinical models with clinical study data standards. Methods of Information in Medicine, 54(1), 65-74. https://doi.org/10.3414/ME13-02-0019