AI-Powered IoT Platform Improves Patient Outcomes and Reduces Healthcare Costs

A global MedTech company improved Diabetes Care Outcomes by implementing a scalable and efficient medical data platform that combined sensor data, with activity, studies & nutritional data in a longitudinal patient health platform. 

Highlights

A vision, that ended up creating a petabyte order medical data platform that combined sensor data, with activity, studies & nutritional data in a longitudinal patient health platform.  

An always-on near-real-time acuity encounters prediction technology that enabled Type 1 patients to go worry free & live more fully.  

Patient engagement platform ecosystem that fueled innovation across engagement formats. 

Foundation for AI assisted precision dosing.  

A Physician Insights platform that made complex-simple, enabled deeper therapy performance insights and created the foundations of hyper-personalized care & assisted care delivery. 

The Need: 

  • From a non-connected medical devices to a connected medical device ecosystem 
  • Large Petabyte order sensor data platform 
  • Interactive applications for patient, physician, and Health Care Practitioners (HCP) 
  • Data Science Platform to rapidly unlock value of AI Predictions 
  • Algorithms to empower patient panel (patient, clinicians, caregivers, HCP) 
  • Digital experiences foundations to draw patients-in & manage therapy outcomes with personalization 
  • Precision dosing event in MDI settings to improve care-accessibility 
  • Continuous insights on therapy performances, patient engagement and churn rate, algorithmic 
  • Patient monitoring for the caregivers 

Solution

  • Connected Medical IOT, Sensor and Device Data Platform : Streaming medical IOT data, Sensor group connect, connected pumps 
  • Data acquisition and Patient engagement: Edge Mobile and Web Apps 
  • Connected digital experiences (Patient, Caregivers, HCP, Doctors) through connected apps, reporting systems and digital experiences 
  • Precision Dosing Apps for MDI 
  • Diabetes ML Platform Engineering: Workbench for AI / ML Use case exploration and activation 
  • AI Algorithm Processing: Reduce high acuity encounters through algorithmic processing  
    • Pump Setting Algorithm: Pump setting recommendation for Physicians to choose based on patients’ unique needs 
    • Sensor Glucose Predictor: Providing patient to insights on pattern and events such as Hypo / Hyper Glycemia, enabling preemptive actions 
    • Therapy Interventions Algorithm: Human agent to have data driven conversational interaction with patient, analyze glucose pattern based on diet intake and establish interventions to improve therapy outcomes 
    • SupprtIQ: Commercial models for churn prediction and provide hyper care to improve patient experience for better retention 

Impact

  • 5 Million + Connected Devices and Users by Pushing Patient participation, Improving therapy outcomes & Real Time Condition Monitoring (under 800 milli seconds)
  • 9% reduction in healthcare delivery cost 
  • 25+ Data Science and ML Use case Activation with Data driven and AI enabled ecosystem by Broadening care network, Reduce human errors.
  • 40% Increase in Adoption of CGM Digital Platform with Digitization and patient engagement across the care continuum and Improving Care Accessibility, smart dosing low-cost care option
  • 34TB workload requests per day throughput 
  • 90% Data pipeline reliability achieved 
  • 180 Million Telemetry events processed per day, invoked from IoT devices and other channels 

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