DOI: 10.36347/sjams.2013.v01i06.0102

Pages: 1138-1147

Background: Critical care settings, especially intensive care units (ICUs), require constant patient monitoring, yet face limitations due to resource and staff constraints. Objective: This study evaluates the impact of IoT-driven remote telemetry on early detection, intervention, patient safety, and workflow efficiency in an ICU. Method: Over one year, 100 ICU patients were continuously monitored using remote telemetry. Data collected included response times, intervention rates, adverse events, ICU stay lengths, and readmissions. Results: Remote telemetry significantly enhanced early detection, identifying critical conditions in 78% of cases, compared to 58% with traditional monitoring, representing a 34.5% improvement. Early intervention increased by 38%, reducing adverse events by 42%—from 50 events per 100 patients to 29. ICU readmissions decreased from 30% to 21%, a 30% relative reduction, while ICU stay length shortened by an average of 2.3 days (18%), from 12.5 to 10.2 days per patient. Workflow efficiency improved, reducing manual monitoring time by 30% and freeing up 18 hours per week per staff member. Conclusions: IoT-driven telemetry demonstrates significant potential in critical care, offering enhanced detection, reduced risks, and improved efficiency, establishing it as a valuable tool for ICU patient management.