BACKGROUND
Growing evidence has suggested the use of Early Warning Scores (EWSs) which integrate real-time vital sign monitoring, can help Rapid Response Teams (RRTs) proactively identify patients at risk of deterioration. The Visensia Safety Index (VSI) is a novel EWS based on continuous vital sign monitoring.
OBJECTIVE
This study aims to evaluate the trial implementation of a portable continuous vital sign monitoring system paired with a novel machine learning based index to predict potential clinical deterioration.
METHODS
This two-phase, prospective cohort study will be conducted at the Ottawa Hospital. Eligible patients will be monitored using the VSI with alerts to trigger rapid response team evaluation. Subsequently, we will conduct 30–45-minute semi-structured interviews of consenting healthcare providers to explore the clinical impressions of the trial implementation.
RESULTS
As of August 2024 when the protocol manuscript was submitted, we have enrolled 25 patients.
CONCLUSIONS
The execution of this interventional study requires a multidisciplinary effort. The study employs continuous vital sign monitoring, combined with prediction of deterioration risk, utilized to activate the RRT. Evaluating feasibility and clinical impressions of this trial implementation is the first step of exploring monitoring based predictive decision support.