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Evaluating Interoperability in German Critical Incident Reporting Systems

  • 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 andIntroduction: 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.show moreshow less

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Metadaten
Author: Laura Tetzlaff, Anne-Maria Purohit, Jacob SpallekORCiDGND, Christine HolmbergORCiD, Thomas Schrader
DOI:https://doi.org/10.3233/SHTI230722
ISBN:978-1-64368-429-1
ISBN:978-1-64368-428-4
Title of the source (English):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
Publisher:IOS Press
Place of publication:Amsterdam [u.a.]
Document Type:Part of a book (chapter)
Language:English
Year of publication:2023
Tag:CIRS; Interoperability; SNOMED CT; semantic; syntactic
First Page:249
Last Page:257
Series ; volume number:Studies in Health Technology and Informatics ; 307
Way of publication:Open Access
Faculty/Chair:Fakultät 4 Humanwissenschaften (bis 2023 Soziale Arbeit, Gesundheit und Musik) / FG Gesundheitswissenschaften
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