The algorithm uses vital signs, EHR data, and lab results to predict health declines every 15 minutes, alerting the care team for timely interventions, thus improving communication channels and standardizing care conversations.
Implementing and evaluating the model involved tweaking it to focus on predicting ICU transfers and health decline indicators, enhancing its effectiveness in alerting the care team for necessary actions to prevent patient deterioration.
#predictive-models #ai-in-healthcare #hospital-workflow-optimization #patient-monitoring #communication-channels
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