Health plans are increasingly recognizing the many benefits predictive analytics can have for their members, customers, and revenue. Predictive analytics—when provided by an effective partner—can help address critical challenges, including:
- Identifying and managing future high-risk members sooner
- Improving member health outcomes through increased member engagement
- Optimizing clinical care outreach
- Growing revenue and increasing value across the enterprise
In a crowded market, it can be difficult to evaluate which predictive analytics partners will provide the most value. Worse, many solutions overpromise and underdeliver, relying on basic and outdated algorithms and methodologies that lead to less accurate and less predictive insights. With consequences that include lost time, wasted resources, and negative ROI, health plans can’t afford to implement a poor analytics solution. This guide will help you avoid the common missteps.
This guide contains the key attributes and capabilities to look for in a predictive analytics provider:
- Grounded in healthcare and committed to continuous innovation
- Demonstrated results
- Strategic priority support
- Partnership deal breakers
Access the Predictive Analytics Buyer's Guide
