Search
 
loader loading subjects...
cover
Development of a SNOMED CT Mapping Process and Tool at a Data Integration Centre – Lessons Learned
Andrea Riedel, Noemi Deppenwiese, Lucas Thiele, Hans-Ulrich Prokosch, Annalena Herzog
160 - 170
10.3233/SHTI240852
Research Article
Studies in Health Technology and Informatics
Volume 317: German Medical Data Sciences 2024
Abstract

Introduction:

16 million German-language free-text laboratory test results are the basis of the daily diagnostic routine of 17 laboratories within the University Hospital Erlangen. As part of the Medical Informatics Initiative, the local data integration centre is responsible for the accessibility of routine care data for medical research. Following the core data set, international interoperability standards such as FHIR and the English-language medical terminology SNOMED CT are used to create harmonised data. To represent each non-numeric laboratory test result within the base module profile ObservationLab, the need for a map and supporting tooling arose.

State of the Art:

Due to the requirement of a n:n map and a data safety-compliant local instance, publicly available tools (e.g., SNAP2SNOMED) were insufficient.

Concept and Implementation:

Therefore, we developed (1) an incremental mapping-validation process with different iteration cycles and (2) a customised mapping tool via Microsoft Access. Time, labour, and cost efficiency played a decisive role. First iterations were used to define requirements (e.g., multiple user access).

Lessons Learned:

The successful process and tool implementation and the described lessons learned (e.g., cheat sheet) will assist other German hospitals in creating local maps for inter-consortia data exchange and research. In the future, qualitative and quantitative analysis results will be published.

Download
Creative Commons License