Name
Title | ||
|---|---|---|
Intelligent model-based advisory system for the management of ventilated intensive care patients. Part II: Advisory system design and evaluation. |
Abstract | ||
|---|---|---|
The optimisation of ventilatory support is a crucial issue for the management of respiratory failure in critically ill patients, aiming at improving gas exchange while preventing ventilator-induced dysfunction of the respiratory system. Clinicians often rely on their knowledge/experience and regular observation of the patient's response for adjusting the level of respiratory support. Using a similar data-driven decision-making methodology, an adaptive model-based advisory system has been designed for the clinical monitoring and management of mechanically ventilated patients. The hybrid blood gas patient model SOPAVent developed in Part I of this paper and validated against clinical data for a range of patients lung abnormalities is embedded into the advisory system to predict continuously and non-invasively the patient's respiratory response to changes in the ventilator settings. The choice of appropriate ventilator settings involves finding a balance among a selection of fundamentally competing therapeutic decisions. The design approach used here is based on a goal-directed multi-objective optimisation strategy to determine the optimal ventilator settings that effectively restore gas exchange and promote improved patient's clinical conditions. As an initial step to its clinical validation, the advisory system's closed-loop stability and performance have been assessed in a series of simulations scenarios reconstructed from real ICU patients data. The results show that the designed advisory system can generate good ventilator-setting advice under patient state changes and competing ventilator management targets. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.cmpb.2010.03.009 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
clinical data,intensive care patient,respiratory system,improved patient,hybrid blood gas patient,advisory system design,patient state change,part ii,clinical condition,advisory system,gas exchange,ill patient,intelligent model-based advisory system,appropriate ventilator setting,decision support system,system design | Intensive care unit,Decision support system,Intensive care medicine,Advisory system,Mechanical ventilation,Medical emergency,Respiratory failure,Intensive care,Medicine,Patient state | Journal |
Volume | Issue | ISSN |
99 | 2 | 1872-7565 |
Citations | PageRank | References |
3 | 0.71 | 5 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ang Wang | 1 | 5 | 2.16 |
| Mahdi Mahfouf | 2 | 235 | 33.17 |
| Gary H. Mills | 3 | 5 | 2.84 |
| G. Panoutsos | 4 | 28 | 3.43 |
| D. A. Linkens | 5 | 242 | 34.08 |
| K Goode | 6 | 11 | 2.33 |
| Hoi-Fei Kwok | 7 | 17 | 2.39 |
| Mouloud A. Denaï | 8 | 71 | 9.68 |