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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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HTML5 microdata as a semantic container for medical information exchange.

Eizen Kimura1, Shinji Kobayashi2, Ken Ishihara1

  • 1Department Medical Informatics of Ehime University Hospital.

Studies in Health Technology and Informatics
|August 28, 2014
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Summary

This study introduces a novel HTML5 microdata scheme for secure electronic medical record (EMR) and cloud system interoperability. The method enables seamless data exchange, improving clinical research and EMR integration.

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Area of Science:

  • Computer Science
  • Health Informatics
  • Information Technology

Background:

  • Interoperability between electronic medical record (EMR) systems and cloud computing is hindered by the absence of a universal standard for secure information exchange.
  • Existing methods lack a standardized approach for integrating diverse clinical data sources.

Purpose of the Study:

  • To propose and describe an innovative information exchange scheme to achieve secure interoperability between EMR systems and cloud computing platforms.
  • To demonstrate a method for embedding and mapping clinical data, specifically laboratory test results, within a standardized semantic container.

Main Methods:

  • Utilized HTML5 microdata as a standard semantic container for information exchange.
  • Embedded Health Level Seven (HL7) messages, detailing laboratory test results, within the HTML5 microdata.
  • Annotated clinical research report items with microdata and mapped laboratory test results using an HL7 selector.

Main Results:

  • Successfully demonstrated an information exchange scheme using HTML5 microdata for secure data integration.
  • Facilitated the mapping of laboratory test result data into clinical research reports via HL7 selectors.
  • Established a foundation for secure cooperation between cloud-based services and EMR systems.

Conclusions:

  • The proposed HTML5 microdata scheme offers a viable solution for secure EMR and cloud system interoperability.
  • This approach standardizes information exchange, enhancing data accessibility and integration in healthcare.
  • The method supports secure data sharing, crucial for advancing clinical research and healthcare delivery.