At the Cutting Edge of Healthcare: IoT Data in Preventative Care

Efficient clinical workflows, safer patient experiences, and better predictive care – IoT at the Edge is a key strategy as healthcare organizations focus on patient-centered care and digital transformation. With Edge and IoT devices generating enormous quantities of data from physician-patient encounters and wearables, health leaders are identifying opportunities to leverage distributed analytics to derive actionable insights from IoT devices at the Edge. We’ve moved well beyond the lean operations and financial use cases introduced a decade ago. Instead, envision a greater goal: moving from disease management to disease prevention; that’s the power of IoT devices at the healthcare Edge. It's enhanced productivity. It's improved resource utilization. All working together to quickly and safely step-down patients, maximizing value-based care models. While much of IoT moves through the realm of big data, Edge analytics focuses on “small data” – individual personal, physical, longitudinal data points – all aggregated to provide the opportunity for instantaneous insights. Distributed analytics unlocks healthcare Edge and IoT data to see beyond episodic patient visits, creating a continuous real-time patient record 24/7/365  and shifting from reactive to proactive care.