An Analysis of Rapid Response Team Calling Algorithms for Clinical Deficit Evaluation

• Main Author: Chartash, David S.
• Other Authors: Cafazzo, Joseph
• Language: en_ca
• Published: 2013
• Subjects: clinical engineering; health science; medicine and surgery; system science; 0541; 0566; 0564; 0790
• Online Access: http://hdl.handle.net/1807/42713

This research examines the activation of the Rapid Response Team (RRT) through the Early Warning Score (EWS) model as a system of predicting adverse event outcomes. Modeling the input parameters of this system concluded that although conventional parameters associated with EWSs were predictive,the most predictive clinical and laboratory parameters are those of hematological and nephritic function, related to the model of multi-organ system decompensation. Upon examining different EWSs, the Modified Early Warning Score exhibited superior operating characteristics, however, it was not statistically different than other common EWSs from literature. Accounting for temporal features of the dataset shows that the International Normalized Ratio is the most predictive parameter, however, the hazard model exhibits poor discriminative ability. Therefore, clinically, parameters outside the EWS models are predictive of the outcomes in question, and their incorporation into future policy would serve to better inform the prevention of adverse events.