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Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
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Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

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CEN EN13606 normalisation framework implementation experiences.

David Moner1, José A Maldonado, Diego Boscá

  • 1Instituto ITACA, Universidad Politécnica de Valencia, Valencia, Spain. damoca@upv.es

Studies in Health Technology and Informatics
|June 15, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a framework and tools for seamless semantic interoperability of electronic health records, aligning with the CEN EN13606 standard. It facilitates the use of common terminologies and integrates clinical knowledge into existing health information systems.

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Area of Science:

  • Health Informatics
  • Clinical Data Management
  • Information Systems Engineering

Background:

  • The CEN EN13606 standard promotes electronic health record communication.
  • Achieving semantic interoperability of clinical data is a key objective.
  • Integrating standardized clinical knowledge into existing systems presents challenges.

Purpose of the Study:

  • To present a methodology for achieving seamless semantic interoperability of health data.
  • To introduce developed tools supporting this methodology.
  • To demonstrate the application of the framework in real-world study cases.

Main Methods:

  • Development of a framework for semantic interoperability.
  • Creation of tools to facilitate data normalization and terminology alignment.
  • Application of the framework in legacy health information systems.

Main Results:

  • Successful implementation of a methodology for semantic interoperability.
  • Demonstrated seamless integration of health data in legacy systems.
  • Validation of the framework through multiple study cases.

Conclusions:

  • The developed framework and tools enable effective semantic interoperability of clinical data.
  • The methodology supports the integration of common terminologies and normalized clinical knowledge.
  • The approach is effective for enhancing health information systems.