Widest Data Sources
ARTO™ uses the widest possible amount of information for insight, making use of both structured and unstructured data to build the most accurate and robust clinical models.
High Utilizing Subpopulations
Spending and resource utilization in healthcare are very concentrated. CliniCast uses sophisticated risk algorithms to accurately predict outcomes and cost to the subpopulation level.
At CliniCast, we have designed our risk and cost models to adaptively improve as providers accumulate more data. Ultimately this leads to more powerful and predictive risk models.