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AI Use Case

Detect potential medical events from wearable sensor data and signal emergency response

Detect major trauma events from wearable sensor data and signal emergency response. Real time sensors are used to monitor individual symptoms to alert emergency staff to urgent health issues. This can be extended to analysing incoming phone calls for audible clues.



Operational Support - Situational awareness,Operational Support - Issue / outlier ID,Risk reduction - Patient outcomes

Case Studies

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,"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 ","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 "

Potential Vendors




Healthcare Providers And Services

Data Sets

Time series

AI Technologies

Machine Learning (ML),ML Task - Grouping - Anomaly Detection,Product - Data Capture - Bio Sensor,Product - Data Capture - Actigraph,ML Task - Prediction - Data Translation/Transformation

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