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Interoperability issues in electronic health records (EHRs) stem from data structure differences. This study demonstrates reusing openEHR semantics to configure EHR forms, improving data exchange.

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Area of Science:

  • Health Informatics
  • Clinical Data Management
  • Interoperability Standards

Background:

  • Electronic Health Record (EHR) systems often exhibit variations in data structure and semantics within screen forms.
  • These inconsistencies are a primary driver of significant interoperability challenges in healthcare data exchange.
  • Existing standardization efforts have not fully resolved these structural and semantic discrepancies across different EHR products.

Purpose of the Study:

  • To address EHR interoperability problems caused by structural and semantic data differences in screen forms.
  • To present and evaluate a workaround for reusing openEHR archetype and template semantics.
  • To configure forms across multiple, insufficiently standardized EHR products in Sweden.

Main Methods:

  • Utilized openEHR archetype and template semantics as a common semantic model.
  • Configured data capture forms in four distinct EHR products: Cerner Melior, Cerner Millenium, Cambio Cosmic, and CGM TakeCare.
  • Exported data from the configured EHRs and performed queries using standardized mechanisms.

Main Results:

  • Successfully demonstrated the reuse of openEHR semantics for configuring forms in diverse EHR systems.
  • Enabled consistent data capture across different EHR products by applying a standardized semantic layer.
  • Facilitated standardized data querying across multiple EHRs after applying the workaround.

Conclusions:

  • Reusing openEHR semantics offers a viable workaround to mitigate interoperability issues stemming from EHR form design.
  • Standardized semantic models can bridge structural differences in data capture across heterogeneous EHR environments.
  • This approach enhances the potential for seamless data exchange and querying in multi-EHR settings.