Medicaid Enterprise Analytics

Improving health management for your most at-risk members

With razor-thin margins on reimbursements and more value-based care at-risk contracts, health plans are clamoring for new and innovative ways to address the health of growing Medicaid populations. By mining insights from claim and clinical data, MedeAnalytics provides the foundation for managed care plans and agencies to collaborate and help deliver better outcomes to underserved populations.

Applying data to create person-centered care

Challenge
Solution

Lack of insight into actual impact of social determinants of health within membership limits efficacy of value-based care

Challenge
Solution

Disjointed data sources hinder understanding of member utilization trends and program outcomes

 

Challenge
Solution

Basic, low-detail view of member health statuses and population patterns stunts plan expansion

 

Analytics in action

Medicaid Enterprise Analytics delivers key insights into Medicaid beneficiary data, enabling health plans to understand cost drivers, gaps in care, and demographic and SDOH impact to improve care outcomes.​

Explore a few key features by hovering over the images below.

High Cost Claimants
MEA-High Cost Claimants

Identify high-cost claimants to prioritize for care management 

MCO Overview
Behavioral Health
Maternal Health
Quality Payment Plan

Dive deeper into Medicaid Enterprise Analytics

Download the data sheet to see how Medicaid Enterprise Analytics integrates traditionally disparate data sources to provide the visibility and transparency health plans need to holistically manage member care.

Get our take on industry trends

Introduction to social risk: What healthcare leaders need to understand

September 27, 2024

‘Social determinants of health’ has been a common phrase for decades now, but the term social risk is much less…

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AI is your new crystal ball: How predictive analytics can reduce denials

September 23, 2024

The idea of having a crystal ball to better understand what claims will be denied is an awesome concept. But one we can’t rely on. Thankfully, we have predictive analytics to take the place of a crystal ball.

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3 ways to reduce friction in payer-provider relationships

August 14, 2024

The dynamic between healthcare providers and payers has historically been quite strained. Though both parties are interested in improving the…

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Adapting nursing education and practice in a post-pandemic, technology-dependent world

July 19, 2024

Can AI help reduce nurse burnout? What role should nurses play in regulatory conversations? How do clinical training programs incorporate…

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We're driving data-powered improvement across the industry

Healthcare Providers and Health Systems depend on us for end-to-end revenue cycle management (RCM)  Analytics that helps them lower denials, accelerate A/R and improve staff productivity.

Healthcare providers and health systems

Healthcare Providers and Health Systems

use our end-to-end revenue cycle management analytics to lower denials, accelerate A/R, and improve staff productivity.

 

Explore Provider Solutions

Healthcare Payers and Health Plans deploy our Value Based Care and Provider Analytics to improve population health and quality management, and empower their employers and brokers thru self-service analytics.

Healthcare payers and health plans

Healthcare Payers and health plans

deploy our value-based care and provider network analytics to enhance population health, quality and network management and empower their employers and brokers through self-service analytics.

 

Explore Payer Solutions

Government Programs for Medicare and Medicaid Enterprise Analytics that helps plans to understand cost drivers, gaps in care, demographic and SDOH impact to improve care outcomes.

Government Medicare and Medicaid programs

Government Medicare and Medicaid programs

Government Medicare and Medicaid programs rely on our comprehensive dashboards to understand cost drivers, gaps in care, and social determinants impacting beneficiary outcomes.

 

Explore Medicaid Analytics