TY - CHAP A1 - Tetzlaff, Laura A1 - Purohit, Anne-Maria A1 - Spallek, Jacob A1 - Holmberg, Christine A1 - Schrader, Thomas T1 - Evaluating Interoperability in German Critical Incident Reporting Systems T2 - German Medical Data Sciences 2023 – Science. Close to People, Proceedings of the 68th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) 2023 in Heilbronn, Germany N2 - 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. KW - CIRS KW - Interoperability KW - SNOMED CT KW - semantic KW - syntactic Y1 - 2023 UR - https://opus4.kobv.de/opus4-UBICO/frontdoor/index/index/docId/31301 SN - 978-1-64368-429-1 SN - 978-1-64368-428-4 SP - 249 EP - 257 PB - IOS Press CY - Amsterdam [u.a.] ER -