CHUNFEI WANG et al: A MODEL-BASED DECISION SUPPORT SYSTEM FOR MECHANICAL VENTILATION

In clinical practice, the mechanical ventilation is a very important aided method to improve patients' breath, so parameter setting of ventilator directly affects pulmonary gas exchange. In this report, we try to build a decision support system based on the gas exchange model for mechanical ventilation using fuzzy logic. The gas exchange mathematic model can simulate individual patient's pulmonary gas exchange, and can help doctors to learn patient's exactly situation. The system uses fuzzy logic algorithm, utilizing the measurement of patient, and generates the ventilator settings respond to individual patient. The system was retrospectively evaluated in 10 intensive care patient cases, with mathematic models fitted to the retrospective data, and then used to simulate patient response to changes in therapy. Compared to the ventilator settings set as part of routine clinical care, the system lowers inspired oxygen fraction and breath work and improves gas exchange with the model simulated outcome.