An ontology-based tool for modeling and documenting events in neurosurgery.

Journal: BMC medical informatics and decision making
PMID: 39085883

Abstract

BACKGROUND: Intraoperative neurophysiological monitoring (IOM) plays a pivotal role in enhancing patient safety during neurosurgical procedures. This vital technique involves the continuous measurement of evoked potentials to provide early warnings and ensure the preservation of critical neural structures. One of the primary challenges has been the effective documentation of IOM events with semantically enriched characterizations. This study aimed to address this challenge by developing an ontology-based tool.

Authors

  • Patricia Romao
    Bern University of Appl. Sciences, Department of Medical Informatics, Switzerland.
  • Stefanie Neuenschwander
    Bern University of Appl. Sciences, Department of Medical Informatics, Switzerland.
  • Chantal Zbinden
    Department of Neurosurgery, Inselspital, University Hospital, Bern, Switzerland.
  • Kathleen Seidel
    Department of Neurosurgery, Inselspital, University Hospital, Bern, Switzerland.
  • Murat Sariyar
    Bern University of Appl. Sciences, Department of Medical Informatics, Switzerland.

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