Our health plan client had been outsourcing their analytics and risk stratification. Because they were not leveraging predictive analytics in healthcare, there were concerns regarding the viability of produced results in facilitating effective care management practices.
The client needed a way to develop prescriptive paradigms for care management, which embodied predictive abilities that went beyond rule-based stratification of member-specific risks.
SDLC Partners not only empowered the client with the know-how to insource analytics and risk stratification, but developed rapid prototypes of sophisticated machine learning models that enabled them to use predictive analytics to guide care management practices.
Feel free to share this resource to your data analytics team who are looking for ways to produce more sophisticated, predictive analysis or who want to work to bring higher-level analytics in-house.
Once you’ve read the case study, what’s next?
Our data scientists and are ready to discuss your data analysis goals and discover how far predictive analytics can take your decision making.