AI systems in clinical practice

Acute care systems
VentEx
Knowledge-based decision support and monitoring system for ventilator therapy

developed by clinical domains keywords
MedicalIntensive Care Unit, Sodersjukhuset, Stockholm, Siemens Elema AB and Department of Medical Informatics, Linköping University , Linköping, Sweden Intensive Care Unit, ventilator therapy Knowledge-based system, knowledge representation, knowledge acquisition tool
location commissioned status
Medical Intensive Care Unit, Sodersjukhuset, Stockholm A multi-center evaluation phase has taken place in which three intensive care units are participating to evaluate the effects of VentEx on patients, users and on the organization.
description
A hybrid knowledge representation has been used and a domain-specific knowledge acquisition tool (KAVE) equipped with a simulator has been developed. Real patient data has been used to validate the knowledge-base and a study to measure the impact of the system is ongoing. Evaluation results indicate a high consensus between the doctors and VentEx according to a "gold" standard.

The VentEx system is used both for monitoring and decision-support in patients with different kinds of imminent and obvious ventilatory insufficiencies. Decision-support (the system outcomes) is based on patho-physiological state, ventilation functions and patient data, and it covers different phases of ventilator therapy, namely start (intubation), ongoing (treatment phase) and weaning (extubation). The system includes 13 basic groups of diagnoses within the area of ventilator insufficiency.

The VentEx system has been built to support ventilator therapy management using knowledge-based system technology. Development started with an early prototype system called KUSIVAR [I] which dealt with knowledge representation and knowledge acquisition research using the Knowledge Engineering Environment (KEE). A domain specific tool called KAVE [II] was later developed to facilitate the knowledge acquisition process. Then a PC-based on-line system (VentEx) was built [III] as an integrated knowledge-based system in the clinical environment using Nexpert Object. Results of the evaluation work [IV] indicate the usefulness of KAVE, and there was a high consensus between the doctors and VentEx according to a "gold" standard [V].
references
Shahsavar N, Frostell C, Gill H, Ludwigs U, Matell G and Wigertz O. Knowledge Base Design for Decision Support in Respirator Therapy. International Journal of Clinical Monitoring and Computing, 1989, 6:223-231.

Shahsavar N, Gill H, Wigertz O, Frostell C, Matell G and Ludwigs U. KAVE: A Tool for Knowledge Acquisition to Support Artificial Ventilation. International Journal of Computer Methods and Programs in Biomedicine, 1991, 34: 115-123.

Shahsavar N, Gill H, Ludwigs U, Carstensen A, Larsson H, Wigertz O and Matell G. VentEx: An On-Line Knowledge-Based System to Support Ventilator Management. Technology and Health Care, 1994, 1:233-243.

Shahsavar N, Ludwigs U, Blomqvist H, Gill H, Wigertz O and Matell G. Evaluation of a Knowledge-Based Decision-Support System for Ventilator Therapy Management. Artificial Intelligence in medicine, 1995, 7:37-52.

Shahsavar N. Design, Implementation and Evaluation of a Knowledge-Based System to Support Ventilator Therapy Management. Linköping Studies in Science and Technology, PhD thesis 317, Department of Medical Informatics, Linköping University, Sweden, 1993.

contact links

Nosrat Shahsavar
Dept. of Medical Informatics
Linköping University
Sweden

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acknowledgements

Archive of AI systems in clinical practice previously administered by Enrico Coiera. Used with permission. Maintained and extended since 2001 by OpenClinical.

Entry on archive: Dec 12 1995
Last main update: 18 October 2001
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