Predictive analytics can give you valuable insights into your healthcare organization and patients, allowing you to improve care and outcomes and reduce costs. What’s even better is when this can be done quickly and with minimal patient data. Prism by Lumiata makes all of this possible.
Prism is a revolutionary new deep learning approach to predict healthcare costs and clinical risk with game-changing speed, simplicity, and flexibility. It democratizes AI through a web-based, self-serve application that can produce results with as few as 50 patient records. Prism is a one-stop solution for almost any cost and disease prediction using claims data..
Powering Prism is one deep learning model built on 130M+ claims and EHR-based patient records. It can predict financial and clinical risk, including cost and 150+ diseases over precise timelines. With this powerful model plus Lumiata’s ability to customize predictions to your specific patient population, Prism creates a new chapter in the healthcare industry’s data-driven transformation journey.
Customers receive near-instantaneous predictions (2-3 minutes instead of 3-4 weeks).
Simply upload six columns of data: patient id, birthdate, gender, code type, code and date of service into the web-based application. That’s it.
Prism jointly predicts claims and cost for individual patients’ overall timelines simultaneously.
Prism is designed to be a light-weight solution for predictive analytics needs. The design enables solutions for almost any healthcare use case:
Prism includes numerous helpful features that provide valuable benefits for users. For example, Prism takes a rapid, flexible, and user-friendly approach to risk prediction, making it easy to include predictive analytics into any existing workflow.