This could not be more true in healthcare. Predictive modeling can improve patient outcomes and reduce costs such as the following:
Clinical applications when early detection can impact patient outcomes or which patient is going to be become septic
Predicting which claim is going to be denied (for providers)
Predicting at risk claims (for payers)
Every step tracked and auditable.
Our technology is not-out of-control wizardry. It methodically tracks all of the steps it used to make decisions and is auditable. When there is not enough data to make a prediction, our software knows not to “pull the trigger.”
Using our knowledge graph, algorithms, and our inference engine, our technology can use both unstructured and structured data to make predictive modeling a reality.