Super Cruncher Algorithm Can Predict Cardiac Arrest 24 Hours Before It Happens

June 13th, 2011

A new algorithm can predict if someone is at risk of cardiac arrest up to 24 hours ahead of time. How does it work?

Our system works behind the scenes constantly analyzing the raw patient data coming in from a variety of sources like chemistry panels, urinalysis, micro biology, respiratory and bedside monitors. We attempt to alert the doctor early of an adverse event such as cardiac arrest, or that a patient might be trending toward an arrhythmia or pneumonia.

Disparate information makes it hard to connect the dots. Massive amounts of disparate information turns the dots into a confusing sea of blobs. The dots must be connected in a manner that allows the doctor to make immediate and intelligent decisions.

We look at the current trends and progressions of disease states in the now, and then look at what may be happening in the next 24 hours. We then push this information to a mobile device such as an iPad allowing the doctor to see the clinically relevant dots, allowing them to make better decisions in a timely manner.


I previously blogged that IBM is reprogramming Watson to diagnose diseases.

If a computer can replace a doctor, can anyone argue with a straight face that attorneys are safe from our new robotic overlords?