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Defining and Measuring Patient-Ventilator Interactions: 10 Fundamental Maxims
Eduardo Mireles-Cabodevila1,2,3,4, Katerina Vaporidi5, Lluís Blanch6,7,8
1Dr. Mireles-Cabodevila is affiliated with the Simulation and Advanced Skill Center, Education Institute, Cleveland, Ohio.
Respiratory Care
|March 31, 2026
Summary
Patient-ventilator interaction (PVI) lacks standardized definitions, causing confusion. This study proposes a formal taxonomy and nomenclature for consistent PVI understanding and measurement.
Area of Science:
- Critical Care Medicine
- Respiratory Physiology
- Medical Informatics
Background:
- Patient-ventilator interaction (PVI) literature is extensive but lacks standardized terminology and definitions.
- Inconsistent PVI concepts lead to confusion and reliance on outdated ideas in research and clinical practice.
- A clear, unified framework is needed to advance the understanding and measurement of PVI.
Purpose of the Study:
- To propose a standardized nomenclature and basic rules for understanding patient-ventilator interaction (PVI).
- To establish a formal taxonomy for PVI, including a standardized vocabulary and hierarchical structure.
- To identify key areas for future research in PVI definitions, measurement, and clinical application.
Main Methods:
- Developed a formal taxonomy for PVI based on a standardized vocabulary.
- Defined essential components for understanding PVI.
- Outlined a hierarchical organizational structure for PVI concepts.
Main Results:
- A proposed set of basic rules and standard nomenclature for PVI is presented.
- The article describes the two components of a taxonomy: standardized vocabulary and hierarchical structure.
- Identified research gaps in PVI definitions, measurement, and clinical needs.
Conclusions:
- Standardized nomenclature and a formal taxonomy are crucial for consistent PVI understanding and measurement.
- The proposed framework aims to resolve inconsistencies and confusion in the current PVI literature.
- Further research is needed to refine PVI definitions, measurement techniques, and clinical integration.
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