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Classical approaches and intelligent systems in ventilation management: a survey
1Department of Medical Instrumentation Technology, Technological Educational Institute of Athens, Ag. Spiridonos, Egaleo, Athens, Greece. atzavaras@teiath.gr
Critical Reviews in Biomedical Engineering
|October 12, 2010
Summary
This review explores intelligent methods for developing clinical decision support systems (CDSS) to optimize mechanical ventilation management. It highlights the necessity of CDSS for critical care, enhancing patient support.
Area of Science:
- Critical care medicine
- Biomedical engineering
- Computational intelligence
Background:
- Ventilation management is crucial for critically ill patients requiring mechanical support.
- Current ventilation management relies on continuous adjustments based on patient needs.
- The complexity of respiratory physiology necessitates advanced support tools.
Purpose of the Study:
- To review published research on modeling respiratory physiology and ventilation management.
- To focus on the application of soft computing and intelligent methods for clinical decision support systems (CDSS).
- To discuss the importance and characteristics of CDSS in critical care ventilation management.
Main Methods:
- Literature review of published works.
- Analysis of soft computing techniques applied to ventilation management.
- Identification of key characteristics for effective CDSS in critical care.
Main Results:
- Soft computing offers intelligent methods for developing CDSS in ventilation.
- CDSS are essential for optimizing ventilator support in critical care.
- Specific characteristics of effective CDSS for ventilation management have been identified.
Conclusions:
- Intelligent methods, particularly soft computing, show significant promise for enhancing ventilation management through CDSS.
- The development and implementation of CDSS are vital for improving patient outcomes in critical care.
- Further research into CDSS for ventilation management is warranted.
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