Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Clinical data integration model : core interoperability ontology for research using primary care data

Tools
- Tools
+ Tools

Ethier, Jean-Francois, Curcin, Vasa, Barton, A., McGilchrist, Mark, Bastiaens, H., Andreasson, A., Rossiter, J., Zhao, Lei, Arvanitis, Theodoros N., Taweel, Adel, Delaney, B. and Burgun, Anita (2015) Clinical data integration model : core interoperability ontology for research using primary care data. Methods of Information in Medicine, Volume 54 (Number 1). pp. 16-23. doi:10.3414/ME13-02-0024

Research output not available from this repository, contact author.
Official URL: http://dx.doi.org/10.3414/ME13-02-0024

Request Changes to record.

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:
Primary care data is the single richest source of routine health care data. However its use, both in research and clinical work, often requires data from multiple clinical sites, clinical trials databases and registries. Data integration and interoperability are therefore of utmost importance.
Objectives:
TRANSFoRm's general approach relies on a unified interoperability framework, described in a previous paper. We developed a core ontology for an interoperability framework based on data mediation. This article presents how such an ontology, the Clinical Data Integration Model (CDIM), can be designed to support, in conjunction with appropriate terminologies, biomedical data federation within TRANSFoRm, an EU FP7 project that aims to develop the digital infrastructure for a learning healthcare system in European Primary Care.
Methods:
TRANSFoRm utilizes a unified structural / terminological interoperability framework, based on the local-as-view mediation paradigm. Such an approach mandates the global information model to describe the domain of interest independently of the data sources to be explored. Following a requirement analysis process, no ontology focusing on primary care research was identified and, thus we designed a realist ontology based on Basic Formal Ontology to support our framework in collaboration with various terminologies used in primary care.
Results:
The resulting ontology has 549 classes and 82 object properties and is used to support data integration for TRANSFoRm's use cases. Concepts identified by researchers were successfully expressed in queries using CDIM and pertinent terminologies. As an example, we illustrate how, in TRANSFoRm, the Query Formulation Workbench can capture eligibility criteria in a computable representation, which is based on CDIM.
Conclusion:
A unified mediation approach to semantic interoperability provides a flexible and extensible framework for all types of interaction between health record systems and research systems. CDIM, as core ontology of such an approach, enables simplicity and consistency of design across the heterogeneous software landscape and can support the specific needs of EHR-driven phenotyping research using primary care data.

Item Type: Journal Article
Divisions: Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title: Methods of Information in Medicine
Publisher: Schattauer GmbH
ISSN: 0026-1270
Official Date: 2015
Dates:
DateEvent
2015Published
18 June 2014Available
Volume: Volume 54
Number: Number 1
Page Range: pp. 16-23
DOI: 10.3414/ME13-02-0024
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us