Description
Detect potential medical events from wearable sensor data and signal emergency response
Benefits & ROI
0.2
Key considerations
Upside5
Linked Case Studies
Case Study
Danish Emergency Services
Danish emergency service dispatchers identify heart-attacks in real-time emergency calls with 95% accuracy, compared to 73% for human dispatchers, with real-time speech analysis and machine learning
Case Study
Blue Cross Blue Shield
Blue Cross Blue Shield reduced post hospitalisation costs by over 20% by driving patient engagement with digital post care programs using smart devices, sensors and machine learning
Case Study
Cardiogram and UC San Francisco
Cardiogram detects atrial fibrillation with 97% accuracy surpassing FDA-cleared wearable ECG devices using the Apple Watch and machine learning
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Source: mckinsey.com · Editor: original