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Development of a SNOMED CT Mapping Process and Tool at a Data Integration Centre - Lessons Learned.

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Area of Science:

  • Medical Informatics
  • Health Data Management

Background:

  • University Hospital Erlangen manages 16 million German-language free-text lab results daily.
  • A local data integration center facilitates research access to routine care data.
  • International standards like FHIR and SNOMED CT are used for data harmonization.

Purpose of the Study:

  • To develop a map and tooling for representing non-numeric laboratory test results.
  • To address the need for an n:n map and a data safety-compliant local instance.
  • To create harmonized data for medical research.

Main Methods:

  • Developed an incremental mapping-validation process with iteration cycles.
  • Created a customized mapping tool using Microsoft Access.
  • Prioritized time, labor, and cost efficiency in development.

Main Results:

  • Successfully implemented a mapping process and a customized tool.
  • Identified requirements such as multiple user access through initial iterations.
  • Developed a cheat sheet for process guidance.

Conclusions:

  • The implemented process and tool can assist other German hospitals.
  • Facilitates local map creation for inter-consortia data exchange and research.
  • Future publications will present qualitative and quantitative analysis results.