Risk Identification & Stratification

Track any metrics you want. With more than 250 certified cost, quality, and utilization measures, risk models, and episodes of care supported with the capability to build your own measures whenever you want. - Identify at-risk patients, hotspots, and areas of opportunity - Examine high-utilization measures and cost-drivers - Track underlying utilization patterns - Monitor adherence to medication

Proprietary Machine Learning models through an API service to predict the temporal health status of patients living with chronic disease. Models are trained on a robust and generalizable data set, including EHR data, SDOH, and RPM data. For example, Myia can predict with 90% accuracy hospitalization risk for a polychronic population in the following risk bins: 1-14 days, 15-30 days, 31-90+ days. Our predictive services are crucial for smart triage, patient program eligibility, and cost effective scaling of virtual care and RPM. Our service can function with or without RPM data.

Caboodle comprises the data warehouse and analytics tools for storing and retrieving large swaths of clinical data useful in reporting for care decision-making, cost management, and predictive analytics. Additionally, Caboodle data warehouses can integrate data from non-Epic systems.

Prelude enables Epic users to track patient status — including admission, discharge, and transfer status — as well as hospital registration and insurance functions.