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  4. A Protocol Entry Catalog for Intraoperative Neuromonitoring - Steps Towards an Ontology.
 

A Protocol Entry Catalog for Intraoperative Neuromonitoring - Steps Towards an Ontology.

URI
https://arbor.bfh.ch/handle/arbor/42576
Version
Published
Date Issued
2020-06-26
Author(s)
Zbinden, Chantal
Strickler, Moritz
Sariyar, Murat  
Bürkle, Thomas  
Seidel, Kathleen
Type
Article
Language
English
Subjects

Intraoperative Neurom...

Abstract
In neurosurgery, intraoperative neurophysiological monitoring (IOM) with continuous measurements of neural electrical activity may reduce the risk of postoperative deficits. During an IOM, surgical information as well as neurophysiological, surgical and anesthesia events have to be recorded. So far, there is no common standard for this task available. In this paper, such a standardization with the aim of facilitating the data input and making the protocols data available for different sorts of analyses is described. We developed a protocol entry catalog with 200 standard expressions, which were divided into four categories: IOM, surgical procedure, anesthesia and others. An empirical assessment of the catalog by the IOM team showed the need for subcategories. In the final version of the catalog, the standard terms were grouped into 25 subcategories. The catalog is a first step to support systematic research into the occurrence of clinical events during the IOM and their association with postoperative neurological deficits that could enable improved surgical procedures in the future.
DOI
10.24451/arbor.13256
https://doi.org/10.24451/arbor.13256
Publisher DOI
10.3233/SHTI200559
Journal or Serie
Studies in Health Technology and Informatics
ISSN
1879-8365
Organization
Institut für Medizininformatik I4MI  
Technik und Informatik  
Volume
272
Publisher
IOS Press
Submitter
Sariyar, Murat
Citation apa
Zbinden, C., Strickler, M., Sariyar, M., Bürkle, T., & Seidel, K. (2020). A Protocol Entry Catalog for Intraoperative Neuromonitoring - Steps Towards an Ontology. In Studies in Health Technology and Informatics (Vol. 272). IOS Press. https://doi.org/10.24451/arbor.13256
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