The next generation of data management is
Revolutionizing data management with the
first fully-curated, turnkey health data fabric
Specifically built for healthcare, MedeAnalytics Health Fabric delivers unparalleled power and scalability in data activation. This robust foundation empowers clients to fully harness their data assets within a unified and secure environment, seamlessly connecting multiple data sources and integrating with other solutions, ensuring rapid information delivery at the point of care.
How Health Fabric operates
Sample use cases
Avoid revenue leakage
Combine diverse data sources and uncover insights in real time
Providers can combine RCM data with their HCAHPS data to find out reasons for revenue leakage and take action by connecting to our Health Fabric
Predict denials
View ad-hoc models of denials via the Semantic Layer
Providers can access our Health Fabric via the Semantic layer to perform their own denial prediction model working with our Data Science Factory
Improve patient experience
Connect to the tools already
in your workflow
Uncover patient barriers by analyzing zip code level, facility and physician-wise ad-hoc analysis by using third-party tools like Tableau
Close care gaps
Connect to diverse data
sources in real-time
Ingest clinical data and combine with claims data in our Health Fabric to enable more effective care gap analysis, care coordination and care transitions
Improve PCP engagement
Get an ad-hoc analysis of care, connected to your existing tools
Payers can use third-party tools such as Tableau or Amazon QuickSight to perform ad-hoc analysis of encounter data to identify inactive PCP engagement and reattribute patients
Tackle your own use case
Work with our trusted team of Strategic Advisors
With our Health Fabric, anything is possible. Work with our Strategic Advisors to tackle your biggest organizational challenges.
Security
Comprehensive measures to ensure protection, starting with encryption, access control and continuous monitoring
Compliance
Full alignment with HIPAA, HiTRUST, ISO 27001, and SOC2 compliance regulations
Governance
Quality reviews, role-based access, audit logs, and stringent transparency requirements
Step 1: Source
Integrate
| API-based integrations for essential systems and databases give you maximum flexibility and interoperability |  |
Unify
|
Unified clinical, claims and social determinants data hands you access to advanced population health capabilities. Think: patient risk stratification or care gap analyses |
 |
Ingest
| Direct ingestion of structured and unstructured data from your data repositories and warehouses or via HL7, FHIR and other methods, saves you time and resources |  |
Layer
| Full compatibility with workflow tools allows you to layer in solutions targeting care management, value-based care, payment processing, etc. |  |
Step 2: Harmonize
Validate
| Data is validated, cleansed, enriched and optimized for analytics, ensuring you use only the most refined, reliable information to make decisions |  |
Comply
| Cloud-based data governance tools empower your staff with high-quality, compliant and accurately tracked data |  |
Secure
| Constant, industry-standard encryption and complete logs and audits of all data views and changes gives you peace of mind with unmatched security measures |  |
Clean
| A symphony of automation addresses inconsistencies, missing values, and format errors provides clean, curated data to your staff and clinicians |  |
Step 3: Act
Align
| Analytics-powered, digestible insights for you and your stakeholders enable transparency and alignment throughout your partnerships and processes |  |
Visualize
| Seamless connection to Tableau and Power BI equip you with award-winning data visualization tools |  |
Interrogate
| Support for most modern data science tools encourages you to ask any and all questions of your data |  |
Use
| Role-based access to tailored dashboards and reports puts the right information in front of the right people at the right time (near real-time, in fact) |  |
Scale matters
Change is the only constant. Adapt to whatever needs come your way with server-less services, dynamic adjustment to workloads and users, and real-time storage modification based on volume and needs. There’s no dataset too large or complex.
Tailor your data
Data Science Factory deploys robust data science capabilities to enable powerfully predictive models and “what if” analyses. Access pre-built machine learning models and/or opt to partner with data science consultants to build your own custom AI models.
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