gms | German Medical Science

66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 12. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e. V. (TMF)

26. - 30.09.2021, online

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The evaluation of interoperability of CIRS reports

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  • Thomas Schrader - Technische Hochschule Brandenburg, Brandenburg an der Havel, Germany
  • Laura Tetzlaff - Technische Hochschule Brandenburg, Brandenburg an der Havel, Germany
  • Anne-Maria Purohit - Technische Hochschule Brandenburg, Brandenburg an der Havel, Germany
  • Celine Elsholz - Technische Hochschule Brandenburg, Brandenburg an der Havel, Germany

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 12. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF). sine loco [digital], 26.-30.09.2021. Düsseldorf: German Medical Science GMS Publishing House; 2021. DocAbstr. 73

doi: 10.3205/21gmds024, urn:nbn:de:0183-21gmds0245

Veröffentlicht: 24. September 2021

© 2021 Schrader et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.

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Text

Introduction: Medical errors harm about 400,000 patients in Germany every year. In the context of patient safety, Critical Incident Reporting Systems (CIRS) play an essential role in learning from errors and identifying potential risks at an early stage through systematic analysis. In Germany, different systems exist but it is not possible to easily transfer cases across systems. The problem lies in the missing interoperability and evaluability of reports. For this reason, reports generated by different reporting systems with regards to syntactic and semantic interoperability were investigated.

Methods: Syntactic interoperability was analyzed by mapping input items from six reporting and notification systems to the WHO Minimal Information Models (MIM) related to equivalent content. The semantic interoperability analysis includes retrieving nouns and bigrams (adjective and noun) to an interface of SNOMED CT, expecting a SNOMED CT code as a result.

Results: The analysis covers reports of seven publicly available reporting systems. In terms of syntactic interoperability, the CIRSmedical and the CIRS hospital have the most similarities. The semantic interoperability analysis revealed the availability of 37% (n = 9721) out of a total of 26360 terms in SNOMED CT.

Discussion: A structural overlap between the systems studied and the MIM exists only for the fields What happened? /event as free text and the Reporters Role. A REST interface for the automated query was not present. There is no syntactic interoperability. One possible solution would be to use HL7 FHIR.

Regarding semantic interoperability, only a few extracted terms are part of the SNOMED CT terminology. The availability of SNOMED CT is a good base for semantic interoperability under the assumption of adding patient safety-relevant terms.

Conclusion: The development of a Patient Safety Ontology could contribute significantly to syntactic and semantic interoperability and allows a better and more efficient analysis of critical incidents.

The authors declare that they have no competing interests.

The authors declare that an ethics committee vote is not required.

Gliederung

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