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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

Avoid COVID-19 modeling pitfalls by eliminating bias, using good data

June 2, 2020

COVID-19 models are being used every day to predict the course and short- and long-term impacts of the pandemic. And we’ll be using these COVID-19 models for months to come.

Read on...

Population Health Amid the Coronavirus Outbreak

May 19, 2020

In speaking with many colleagues throughout the provider and payer healthcare community, I’ve found an overwhelming sense of helplessness to the outbreak’s onslaught. This is exacerbated by the constant evolution of reported underlying medical conditions that indicate a higher risk of hospitalization or mortality for a coronavirus patient.

Read on...

3 Steps Any Healthcare Organization Can Take to Improve Enterprise Analytics

February 24, 2020

By Kristin Weir When it comes down to the most basic purpose of why organizations use analytics, it’s simple: they…

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Why Predictive Analytics is the Answer to Healthcare’s Big Data Problem

February 7, 2020

By Scott Hampel Making improvements in healthcare data analytics has the potential to lead to significant cost savings and improved…

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