Note technique : validation des outils de monitorage du débit cardiaque

Squara, Pierre; Chiche, Jean‐Daniel

doi:10.1007/s13546-011-0224-4

Cited by 1 publication

(1 citation statement)

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“…The quality criteria and tolerance for the CO monitoring have been reviewed recently. [ 8 , 9 ] The same effort must be done for each input variable of the model. Basically these criteria are very similar for all quantitative variables.…”

Section: Functional Approachmentioning

confidence: 99%

Toward Intelligent Hemodynamic Monitoring: A Functional Approach

Squara

Waldmann

2012

Cardiology Research and Practice

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Technology is now available to allow a complete haemodynamic analysis; however this is only used in a small proportion of patients and seems to occur when the medical staff have the time and inclination. As a result of this, significant delays occur between an event, its diagnosis and therefore, any treatment required. We can speculate that we should be able to collect enough real time information to make a complete, real time, haemodynamic diagnosis in all critically ill patients. This article advocates for “intelligent haemodynamic monitoring”. Following the steps of a functional analysis, we answered six basic questions. (1) What is the actual best theoretical model for describing haemodynamic disorders? (2) What are the needed and necessary input/output data for describing this model? (3) What are the specific quality criteria and tolerances for collecting each input variable? (4) Based on these criteria, what are the validated available technologies for monitoring each input variable, continuously, real time, and if possible non-invasively? (5) How can we integrate all the needed reliably monitored input variables into the same system for continuously describing the global haemodynamic model? (6) Is it possible to implement this global model into intelligent programs that are able to differentiate clinically relevant changes as opposed to artificial changes and to display intelligent messages and/or diagnoses?

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Section: Functional Approachmentioning

confidence: 99%