Cardiovascular disturbances are difficult to diagnose and treat because of the large range of possible underlying dysfunctions combined with regulatory reflex mechanisms that can result in conflicting clinical data. A cardiovascular system (CVS) model and patient specific parameter identification method could better aggregate the clinical data into a more direct and simpler form for clinicians. A previously developed model and parameter identification method is improved to accurately capture physiological response to septic shock under continuous hemofiltration, further confirming the potential for using this model-based approach in critical care. Clinical data is matched with mean absolute errors less than 8% and the optimized parameters closely follow a previous study using significantly more invasive procedures and measurements.