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
Data and Social Determinants of Health
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
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
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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Why It’s Time for Healthcare to Move Toward AI Reporting
Business intelligence (BI) was a dramatic and significant step forward in healthcare industry reporting and a natural transition to artificial intelligence (AI) enabled real-time insights.
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