Education, direction, and inspiration to support your care access, equity, and delivery goals

Equipped with key insights into Medicaid beneficiary data, you can understand cost drivers, gaps in care, demographic and SDOH impact to improve health management for your most at-risk members

States must meet numerous requirements within their Medicaid programs to receive federal funding—one of which is utilizing managed care. Consequently, MCOs are the dominant delivery system for Medicaid enrollees with 72% of Medicaid beneficiaries enrolled nationally. Over time, laws have shifted to both add flexibility for states’ use of managed care and ensure a direct chain of accountability from Congress to states and states to MCOs.

Managed care plans vary significantly, as each state has the power to decide:

  • Which populations and services to include in managed care arrangements
  • How much MCOs are paid per member per month
  • What mechanisms are deployed to adjust plan risk, incentivize plan performance, and ensure payments are not too high or too low

In turn, MCOs must initiate strategies to meet their own goals, including:

  • Controlling patient access to specialized care
  • Eliminating unnecessary services
  • Integrating health care delivery and payment systems through prepaid member fees
  • Limiting provider fees by establishing fixed rates for physicians and hospital services
  • Controlling drug costs by implementing pharmacy benefits management plans

The big challenge: How can MCOs remain accountable to the states while providing the best care to their beneficiaries?

Successful MCOs are utilizing data to address cost issues, achieve quality requirements, and facilitate decision-making. Data must be complete, accessible and actionable in an easy-to-use analytics platform that can take plans from objectives to successes.

Analytics equips MCOs to combine quality, cost, utilization management, SDOH, enrollment and eligibility data into a 360-degree member view. It also generates insights to help health plans devise new—and improve existing—healthcare services for Medicaid beneficiaries.

Below are examples of how analytics can support success in several key areas.

Population health

MCOs play a critical role in improving population health through various interventions, programs and initiatives aimed at identifying and reducing gaps in care.

  • Identify high-risk populations: Use analytics tools to identify individuals with chronic conditions or those with multiple hospitalizations to target interventions aimed at improving health outcomes and reducing costs.
  • Manage member utilization: Monitor utilization to ensure members are receiving appropriate care and services. Reduce unnecessary or inappropriate healthcare services to improve health outcomes and reduce costs.
  • Improve disease management: Develop data-driven programs that focus on preventive care and early intervention for chronic conditions such as diabetes, heart disease and asthma.
  • Set up wellness and prevention programs: Use claims and clinical data to identify areas of opportunity for wellness programs that include health screenings, smoking cessation, weight management and fitness classes.
  • Advance care coordination: Consolidate care management resources across the care continuum to ensure members receive coordinated and comprehensive care without duplicating services.
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