For Medicaid plans, efficiency is a key component in developing viable population-based programs that engage members, improve outcomes and maximize ROI. Also, many states tie reimbursement to quality improvement, so Medicaid plans must engage members efficiently and effectively.
Decision Point for Medicaid is a unique engagement and behavioral change platform designed specifically for Medicaid plans to improve population-level performance spanning numerous domains and targeting multiple outcomes. We target the members in need of outreach, in areas such as compliance with screenings and guidelines, utilization of healthcare services, chronic condition management, continuity of care, and retention.
Our approach is based on predictive analytics, member segmentation and personalized communication.
We predict member behavior in any area or measure where you need to move the needle, or across all areas or measures. We target members in need of outreach, segment the members based on their barriers and motivations, and determine the right channel for outreach. If we’re tackling multiple measures and domains, our population health management approach prioritizes communications to areas where the member needs the most help to lower member abrasion and improve efficiency. Finally, we provide the precise language and scripts to yield successful and sustained member behavior change.
Results & Outcomes
Decision Point’s Medicaid approach produces results. Our clients:
Keep more members
- Member engagement efforts led by our models resulted in 15% improvement in disenrollment rates annually, and a 10% improvement in recertification rates;
Reduce hospital admissions
- Our models lowered hospital admission rates by 5%-15% annually, depending on the condition
Reduce ER visits
- Our solution lowered emergency room visits by 12% annually
Bring members into compliance with guidelines (HEDIS)
- Our models help increase overall HEDIS compliance by an average of 12% annually across multiple measures
Contact Decision Point today to learn more.