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Effective utilization of the LOINC Extension to SNOMED CT requires a well-defined information model that structures and organizes data consistently. An information model is essential because it provides a framework for accurately capturing, storing, and sharing data across healthcare systems. By establishing clear guidelines for how data elements are related and represented, the information model ensures that laboratory data is consistently documented and understood, facilitating seamless communication between healthcare providers and enabling reliable data analysis. Additionally, this structured approach supports interoperability, allowing different systems to work together efficiently and ensuring that health information can be exchanged and utilized effectively.

The integration of SNOMED CT and LOINC through the development of the LOINC extension to SNOMED CT has gained significant momentum in recent years, owing to its ability to complement and extend the capabilities of healthcare information systems. This section of the guide delves into the information models and terminology bindings that enable the precise documentation and utilization of laboratory data within electronic health records (EHRs). Emphasis is placed on HL7 FHIR as a prime example, showcasing how it can be leveraged to support the integration of SNOMED CT and LOINC, thereby ensuring accurate and standardized data representation in clinical workflows.

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This part of the guide presents any information model relevant for this project, as determined by the project objectives

• This may be a newly developed information model, or an abstract logical model, which provides part of the solution presented in this project.
  • In this case, the rationale and summary of experiences that were the basis of this model should be presented, and
  • Examples of how existing information models support the 'new' model may be provided
• This may be existing information models designed to support the described use cases
  • In this case, just a high-level introduction should be given, and links to the source documentation should be provided 

This section also describes the role of SNOMED CT within the described model(s), and this may include:

• An introduction to SNOMED CT subsets that may be used as value sets
• Details about relevant bindings

Title of this chapter may be changed to be descriptive of the scope of this guide

Notes on target audience for this chapter:

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