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Toward a patient safety upper level ontology.

Julien Souvignet1, Jean-Marie Rodrigues1

  • 1INSERM, U1142, LIMICS, F-75006, Paris, France; Sorbonne Universités, UPMC Université Paris 06, UMR_S 1142, LIMICS, F-75006, Paris, France; Université Paris 13, Sorbonne Paris Cité, LIMICS, (UMR_S 1142), F-93430, Villetaneuse, France.

Studies in Health Technology and Informatics
|May 21, 2015
PubMed
Summary

Standardizing patient safety (PS) through ontologies improves incident reporting. Aligning PS-Categorial Structure (PS-CAST) with Basic Formal Ontology (BFO2) enhances data rigor and interoperability for a WHO-accepted model.

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Area of Science:

  • Medical Informatics
  • Ontology Engineering
  • Patient Safety Science

Background:

  • Patient Safety (PS) standardization is crucial for improving interoperability and knowledge sharing in incident reporting systems.
  • Current systems lack a rigorous, standardized framework for organizing patient safety data.
  • International collaboration in patient safety relies on shared understanding and data exchange.

Purpose of the Study:

  • To align the Patient Safety Categorial Structure (PS-CAST) with the Basic Formal Ontology version 2 (BFO2).
  • To enhance the rigor of the underlying organization of patient safety data.
  • To facilitate the sharing of instances of concepts within the PS-CAST.

Main Methods:

  • A top-down approach was employed for ontology development.
  • The PS-CAST was mapped and aligned to the BFO2 upper-level ontology.
  • Conceptual alignment and instance sharing strategies were developed.

Main Results:

  • Successful alignment of PS-CAST with BFO2, providing a more rigorous ontological foundation.
  • Established a framework for sharing instances of patient safety concepts.
  • Demonstrated a significant step towards a standardized domain ontology for patient safety.

Conclusions:

  • The alignment of PS-CAST to BFO2 significantly enhances data organization and interoperability.
  • This work provides a foundation for a WHO-accepted information model for patient safety.
  • Standardized ontologies are essential for advancing global patient safety initiatives.