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Developing an Ontology for Documenting Adverse Events While Avoiding Pitfalls.

Stefanie Neuenschwander1, Patricia Romao1, Jürgen Holm1

  • 1Bern University of Appl. Sciences, Department of Medical Informatics, Switzerland.

Studies in Health Technology and Informatics
|January 22, 2022
PubMed
Summary
This summary is machine-generated.

We developed an ontology for interoperative neuromonitoring (IOM) events, improving data annotation and computer-assisted reasoning. This work guides biomedical event documentation using the Basic Formal Ontology (BFO).

Keywords:
Adverse eventsBFOclinical documentationintraoperative neuromonitoringphenomenology

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Area of Science:

  • Biomedical Informatics
  • Ontology Engineering
  • Neuroscience

Background:

  • Ontologies offer superior data annotation and reasoning capabilities compared to terminologies.
  • Existing ontologies present challenges for documenting complex biomedical events like those in interoperative neuromonitoring (IOM).

Purpose of the Study:

  • To describe the development of a novel ontology for IOM events.
  • To provide guidance for documenting biomedical events, addressing limitations in current ontologies.

Main Methods:

  • Utilized the Basic Formal Ontology (BFO) as an upper-level ontology.
  • Developed a hierarchical structure for terms and their relations within the IOM domain.
  • Addressed challenges in differentiating documentation, identification, continuant, and occurrent concepts.

Main Results:

  • Successfully developed an ontology tailored for IOM event documentation.
  • Established clear distinctions between key ontological concepts relevant to biomedical events.
  • Provided a framework for consistently covering diseases and injuries within the ontology.

Conclusions:

  • The developed IOM ontology enhances data annotation and computer-assisted reasoning in neuromonitoring.
  • This work offers practical guidance for improving the documentation of biomedical events.
  • The ontology addresses specific issues, facilitating more consistent and accurate biomedical data management.