Implementing an automated ventilation guideline using the semantic wiki KnowWE

Authors:
Reinhard Hatko;Dirk Schädler;Stefan Mersmann;Joachim Baumeister;Norbert Weiler;Frank Puppe
Affiliations:
Institute of Computer Science, University of Würzburg, Germany;Department of Anesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Kiel, Germany;Dräger Medical GmbH, Lübeck, Germany;denkbares GmbH, Würzburg, Germany;Department of Anesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Kiel, Germany;Institute of Computer Science, University of Würzburg, Germany
Venue:
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Year:
2012

Citing 4
Cited 0

KnowWE: a Semantic Wiki for knowledge engineering

Applied Intelligence
Engineering intelligent systems on the knowledge formalization continuum

International Journal of Applied Mathematics and Computer Science - Semantic Knowledge Engineering
Diaflux: a graphical language for computer-interpretable guidelines

KR4HC'11 Proceedings of the 3rd international conference on Knowledge Representation for Health-Care
Rule-base derivation for intensive care ventilator control using ANFIS

Artificial Intelligence in Medicine

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we report on the experiences made during the implementation of a therapeutic process, i.e. a guideline, for automated mechanical ventilation of patients in intensive care units. The semantic wiki KnowWE was used as a collaborative development platform for domain specialists, knowledge and software engineers, and reviewers. We applied the graphical guideline language DiaFlux to represent medical expertise about mechanical ventilation in a flowchart-oriented manner. Finally, the computerized guideline was embedded seamlessly into a mechanical ventilator for autonomous execution.