Toward effective IoT integration in healthcare ICUs: Addressing challenges through algorithmic onboarding and automation solutions

The adoption of Internet of Things (IoT) technologies in ICUs offers significant potential for improving patient monitoring and operational efficiency, yet challenges persist. Key barriers include system compatibility issues, data security risks, and insufficient training, with onboarding of new healthcare staff emerging as a critical hurdle. This study investigates these challenges through a mixed-methods approach, focusing on ICUs in Italy and Israel. Italian ICUs face regional disparities in training accessibility, while Israeli ICUs encounter centralized data-sharing obstacles. The research assesses the effectiveness of algorithm-driven and automation-enhanced onboarding solutions to address training deficiencies and improve adaptation. The findings underscore the need for structured, role-specific onboarding frameworks to maximize IoT technology utilization, reduce inefficiencies, and enhance critical care delivery. These strategies offer actionable solutions to leverage IoT technologies for better patient outcomes and operational performance.