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

Why Unconventional Businesses Will Find Success in Healthcare: It’s the Data

January 7, 2020

It seems everyone is moving into healthcare. It’s a rapidly growing industry, historically dominated by large, well-embedded companies and organizations, and “pure tech” companies have had difficulty breaking in. That, however, is changing.

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Data and Social Determinants of Health

December 19, 2019

By Scott Hampel – I think a lot–and I’m not the only one–about how we can improve the ways we pull information from data. Data on its own is inert: just waiting to be understood and then used. And that’s a major challenge for many organizations. Data is often trapped in different applications with no easy or convenient way to extract it.

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Why Social Determinants Need Analytics for Success

December 10, 2019

Many challenges face healthcare’s underserved. There are issues with food, housing, reliable transportation, steady employment and more. Each contributes to and is one element of social determinants of health (SDH). In communities around the world, public and private organizations are taking steps to address SDH-related issues and challenges that negatively impact healthcare.

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Healthcare Organizations Recognize Importance of AI for Reporting

November 21, 2019

Healthcare providers continue to recognize the value of using AI in reporting operations throughout the organization. AI has many strengths when applied to the healthcare industry:

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