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Uniting Data Standards for Sustainable Platforms

Authors
Maple

Unlocking #FHIR #openEHR for Future Health Data Key Takeaways:

  • Embrace open specifications like FHIR and openEHR for interoperability.
  • Prioritize common data models to reduce errors and maintenance.
  • Combine FHIR and openEHR to optimize data exchange and use.

Further Insights

  1. Open Specifications: Fast Health Care Interoperability Resources (FHIR) and openEHR offer frameworks for flexible, interoperable health data exchanges.

  2. Data Challenges: The diversity of data models leads to increased maintenance efforts and potential misinterpretation risks.

  3. Data Model Standardization: Adopting a universal data model approach can streamline data exchange and limit interpretive errors, saving costs.

  4. Future State Platform: A future state platform aims for an independent data layer, enabling application development and breaking data silos.

  5. Technology and Treatment Evolution: The rapid evolution of technology and treatments underscores the importance of adaptable and universally interoperable data models.

  6. Synergistic Approach: Integrating FHIR and openEHR leverages the strengths of both, facilitating efficient, meaningful health data exchanges.

Closing Thoughts: As we stand at the cusp of a new era in health data management, how can organizations best prepare to meet the challenges and opportunities presented by openEHR and FHIR?