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Operational Data Model Conversion to ResearchKit.

Iñaki Soto-Rey1, Sophia Geßner1, Martin Dugas1

  • 1Institute of Medical Informatics, University of Münster, Germany.

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Summary
This summary is machine-generated.

This study addresses electronic health record interoperability by mapping the Clinical Data Interchange Standards Consortium

Keywords:
Health Information SystemsMetadataPatient Reported Outcome Measures

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Area of Science:

  • Health Informatics
  • Medical Informatics
  • Clinical Data Standards

Background:

  • Electronic health information systems lack interoperability, hindering data exchange.
  • The Clinical Data Interchange Standards Consortium's Operational Data Model (ODM) is an XML-based standard for clinical data and metadata exchange.
  • Patient Reported Outcomes (PROs) are increasingly used, especially with mobile data capture, but ResearchKit for iOS has limited interoperability.

Purpose of the Study:

  • To propose a standardized mapping between the Operational Data Model (ODM) and the ResearchKit framework.
  • To develop a converter for transforming ODM-formatted data into a JSON format readable by ResearchKit.

Main Methods:

  • Developed a mapping strategy between ODM elements and ResearchKit data structures.
  • Implemented a converter tool to translate ODM data into ResearchKit-compatible JSON files.
  • Utilized the University of Münster's Portal of Medical Data Models for ODM data management.

Main Results:

  • Successfully created a functional converter for ODM to ResearchKit JSON.
  • Demonstrated the feasibility of integrating ODM-standardized data with ResearchKit-based mobile applications.
  • The converter facilitates the use of PROs captured via ResearchKit within broader clinical data systems.

Conclusions:

  • The proposed mapping and converter enhance interoperability between ODM and ResearchKit.
  • This facilitates the integration of mobile-captured Patient Reported Outcomes into clinical data workflows.
  • Addresses a key challenge in leveraging mobile health data for research and clinical practice.