MedeAnalytics Data Fabric

 

Powerful data fabric accelerating digital transformation

MedeAnalytics Data Fabric is a unified analytics framework purpose-built to help healthcare companies understand real-time, high-quality, high-fidelity data and apply actionable insights to current and future needs. It provides an accessible visualization of underlying data sources and data lake that enables easier information management and maximizes the value of your data.

The foundation of our architecture

Our data fabric is the foundation for a robust architecture of solutions and services—each meticulously designed to help payers and providers achieve their goals.

Each thread of the data fabric—interoperability, visualization, predictive analytics, augmented analytics, benchmarking, and more—plays a key role in helping you make decisions confidently and see measurable impact.

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Components of our data fabric

MedeEnrich™

Data lake, master person index,
and self-service capabilities

The key to turning raw data into meaningful insights is data orchestration. With more than two decades of research and development fueling its capabilities, MedeEnrich is our unrivaled technology for data orchestration, enrichment, cataloging and quality assurance. It is tailored to enable commingling of ad-hoc, non-standard data sources—such as SDoH or productivity data—with the goal of creating an analytical source of truth for your enterprise.

MedeWorks™

Highly scalable data visualization
 

Leveraging a combination of proprietary and industry-standard national data sets, MedeWorks contains built-in benchmarking and drill-down capabilities to help users easily visualize data, spot trends, make comparisons and ask better questions. The platform also boasts 200+ pre-built, customizable analytics views, a user-friendly look, feel, and experience, and extensive security measures and provisioning capabilities.

MedeElevate™

Augmented analytics
 

Healthcare organizations need innovative analytics capabilities to capitalize on data, reduce human error, and drive cost efficiencies. MedeElevate offers intuitive visualization, predictive analytics, benchmarking, guided analysis, and machine learning—helping payers and providers make efficient decisions and realize positive outcomes. Platform capabilities include automatic, customizable text-based narratives on charts; predictive search within reports, charts, and fields; and a robust rules engine supporting outlier identification and root cause analyses.

Why our data fabric is superior

What you're used to
What we offer

Multiple disconnected data sources that are hard to ingest and unify

What you're used to
What we offer

Black box platform

What you're used to
What we offer

Limited integration

What you're used to
What we offer

Disparate and non-standard platform management

What you're used to
What we offer

Significant reporting lag time

What you're used to
What we offer

Inflexibility

Get our take on industry trends

Healthcare’s return to “normal” after COVID-19: Is it possible?

June 9, 2020

As providers determine how to get patients to return to facilities for routine disease management and preventive screenings, opportunities are ripe for the application of analytics to triage at the right time to the right setting. Data related to COVID-19 will continue to flow rapidly, but there are possibly more questions than answers now about a return to “normal.”

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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.

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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.

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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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