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Concept Matching between Opener and SOHO 12Ricardo CruzCorreia, Carla Vila and Long Chen 1233CINTESIS, Al. Prof. Hernán, 4200 Porto, PortugalHospital S. Jew, Al. Prof. Hernán, 4200 Porto, PortugalCambio
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How to fill out concept matching between openehr

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Step 1: Ensure you have a clear understanding of concept matching in openEHR
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Step 2: Identify two sets of concepts that need to be matched
03
Step 3: Compare and analyze the concepts in both sets
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Step 4: Determine the similarity or relationship between the concepts
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Step 5: Use the appropriate matching technique or algorithm to perform concept matching
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Step 6: Review and validate the results of the concept matching process
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Step 7: Make any necessary adjustments or refinements to improve the accuracy of the matching
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Step 8: Document the concept matching process and results for future reference

Who needs concept matching between openehr?

01
Healthcare providers who use openEHR for managing electronic health records
02
Health IT professionals involved in implementing openEHR systems
03
Researchers and developers working on semantic interoperability in healthcare
04
Healthcare organizations aiming to integrate data from multiple sources
05
Government agencies and regulatory bodies overseeing healthcare standards
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Concept matching in OpenEHR refers to the process of aligning and mapping different clinical concepts and terminologies to ensure consistency and interoperability across various health information systems.
Health professionals, data architects, and developers involved in the implementation and integration of OpenEHR systems are typically required to file concept matching.
To fill out concept matching, individuals need to identify the clinical concepts used in their systems, map these to OpenEHR archetypes and terminologies, document the mapping details, and ensure that they adhere to the OpenEHR guidelines.
The purpose of concept matching is to facilitate seamless data exchange, enhance data quality, and support clinical decision-making by ensuring different systems understand and represent clinical information consistently.
Information that must be reported includes the source concepts, target concepts, mappings used, context of use, and any alignment notes that may help in understanding the reasoning behind the matching.
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