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Evaluating Interoperability in German Critical Incident Reporting Systems
Laura Tetzlaff, Anne-Maria Purohit, Jacob Spallek, Christine Holmberg, Thomas Schrader
249 - 257
10.3233/SHTI230722
Research Article
Studies in Health Technology and Informatics
Volume 307: German Medical Data Sciences 2023 – Science. Close to People.
Abstract

Introduction:

In industrialised countries, one in ten patients suffers harm during hospitalization. Critical Incident Reporting Systems (CIRS) aim to minimize this by learning from errors and identifying potential risks. However, a lack of interoperability among the 16 CIRS in Germany hampers their effectiveness.

Methods:

This study investigates reports’ syntactic and semantic interoperability across seven different reporting systems. Syntactic interoperability was examined using WHO’s Minimal Information Models (MIM), while semantic interoperability was evaluated with SNOMED concepts.

Results:

The findings reveal a low structural overlap, with only two terms correctly represented in the SNOMED CT terminology. In addition, most systems showed no syntactic interoperability.

Conclusion:

Improving interoperability is essential for increasing the effectiveness and usability of CIRS. The study suggests a unified data model such as MIM or using Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR) resources and expanding SNOMED CT with patient safety-relevant terms for semantic interoperability. Given the current lack of both syntactic and semantic interoperability in CIRS, developing a patient safety ontology is recommended for efficient critical incident analysis too.

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