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Development tool for generating optimized HL7 libraries for embedded medical devices.

Hang-Chan Kim1, Byoung-Kee Yi, Ilkon Kim

  • 1Kyungpook National University, Daegu, Korea.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|November 13, 2008
PubMed
Summary
This summary is machine-generated.

A new tool creates small, optimized software libraries for embedded medical devices. This ensures efficient communication using Health Level Seven (HL7) messages, even with limited device resources.

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Area of Science:

  • Medical Informatics
  • Software Engineering
  • Embedded Systems

Background:

  • Embedded medical devices require efficient communication with Health Information Systems (HIS).
  • Resource constraints (CPU, memory) limit the complexity of software deployable on these devices.
  • Standardized healthcare messaging protocols like Health Level Seven (HL7) can be resource-intensive.

Purpose of the Study:

  • To develop a tool for automatically generating optimized software libraries for embedded medical devices.
  • To reduce the memory footprint of medical device software by processing only necessary HL7 message subsets.
  • To enable efficient HIS communication for devices with strict computational and memory limitations.

Main Methods:

  • Development of a code generation tool.
  • Automatic identification and extraction of relevant HL7 message subsets for specific device functionalities.
  • Compilation of device-specific, optimized software libraries with minimal memory requirements.

Main Results:

  • Successful generation of tailored software libraries for embedded medical devices.
  • Demonstrated significant reduction in memory footprint compared to monolithic processing libraries.
  • Validated efficient communication with HIS using the generated HL7 message subsets.

Conclusions:

  • The developed tool effectively addresses the challenge of deploying communication software on resource-constrained embedded medical devices.
  • Automatic generation of optimized libraries allows for efficient and compliant HL7 messaging.
  • This approach enhances the feasibility of integrating diverse medical devices into HIS.