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FHIRing up OpenMRS: Architecture, Implementation and Real-World Use-Cases in Global Health.

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Summary

A new Health Level Seven Fast Healthcare Interoperability Resources (HL7 FHIR) module enhances health information system interoperability in low- and middle-income countries (LMICs). This facilitates data science, machine learning, and precision medicine initiatives.

Keywords:
EHRFHIRGlobal Health InformaticsOpenMRS

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Area of Science:

  • Health Informatics
  • Global Health Technology
  • Interoperability Standards

Background:

  • Health Level Seven Fast Healthcare Interoperability Resources (HL7 FHIR) adoption is growing in high-income countries.
  • Low- and middle-income countries (LMICs) face increasing needs for health information system (HIS) interoperability.
  • OpenMRS, an open-source electronic health record (EHR) system, is deployed in over 44 LMICs.

Purpose of the Study:

  • To describe the development and deployment of a new HL7 FHIR module for LMICs.
  • To demonstrate the module's utility in enhancing HIS interoperability.
  • To showcase its application in advanced data science and clinical decision support.

Main Methods:

  • Development of a new HL7 FHIR module adhering to the latest standards.
  • Deployment of the module within existing health information systems in LMICs.
  • Integration with laboratory systems, mHealth applications, and pharmacy dispensing systems.

Main Results:

  • Successful implementation of the HL7 FHIR module enabling seamless data exchange.
  • Facilitation of interoperability between diverse health systems, including EHRs and mHealth apps.
  • Demonstrated support for advanced user interfaces, data science projects, and machine learning-based clinical decision support systems (CDSS).

Conclusions:

  • The developed HL7 FHIR module significantly improves HIS interoperability in LMICs.
  • It serves as a crucial tool for advancing data science, machine learning, and precision medicine in resource-limited settings.
  • This advancement supports the broader goal of strengthening healthcare infrastructure in LMICs through standardized data exchange.