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Simplifying HL7 Version 3 messages.

Robert Worden1, Philip Scott

  • 1Open Mapping Software Ltd, Cambridge, UK.

Studies in Health Technology and Informatics
|September 7, 2011
PubMed
Summary
This summary is machine-generated.

This study simplifies healthcare interoperability by introducing a novel semantic mapping approach for Health Level Seven (HL7) Version 3 messages. This method reduces HL7 interfacing costs and promotes wider adoption of HL7 Version 3 and Clinical Document Architecture (CDA).

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Area of Science:

  • Health Informatics
  • Computer Science
  • Information Systems

Background:

  • Health Level Seven (HL7) Version 3 provides robust healthcare interoperability but faces implementation complexity.
  • Existing methods for simplifying HL7 Version 3 messaging have limitations.

Purpose of the Study:

  • To present a novel semantic mapping approach for simplifying HL7 Version 3 messaging.
  • To reduce the complexity and cost associated with implementing HL7 Version 3 and Clinical Document Architecture (CDA).

Main Methods:

  • Reviewing existing initiatives to simplify HL7 Version 3.
  • Developing a semantic mapping technique for automatic generation of precise transforms between simple and full HL7 messages.
  • Enabling systems to interface with simplified messages that achieve interoperability with full Version 3 messages.

Main Results:

  • Automatic generation of precise transforms based on user-defined definitions.
  • Significant reduction in the costs and complexity of HL7 interfacing.
  • Facilitation of interoperability between systems using simple and full HL7 Version 3 messages.

Conclusions:

  • The proposed semantic mapping approach effectively simplifies HL7 Version 3 messaging.
  • This simplification is expected to encourage greater adoption of HL7 Version 3 and CDA standards.
  • The method offers a cost-effective solution for enhancing healthcare data exchange.