Unified Health Data for Healthcare Organizations

Clinical, financial, and operational data can speak the same language

The challenge: Healthcare Data Is Too Fragmented

Healthcare organizations generate more data than ever, but without unification, information remains scattered across systems, limiting visibility, slowing decisions, and increasing regulatory risks
“Without data integration and interoperability, we will never achieve the full potential of AI in healthcare.”

John Halamka, MD, President, Mayo Clinic Platform

Fragmented Systems

Disconnected systems prevent teams from maintaining a complete and consistent operational view.

Manual Spreadsheets

Time-consuming exports and fixes undermine data quality and delay insights.

No Single Source of Truth

Without unified healthcare data, reporting becomes inconsistent and unreliable.

AI Can't Work on Bad Data

AI depends on clean data. Poor inputs lead to inaccurate outputs and failed initiatives.

Compliance Blind Spots

Scattered data creates gaps in traceability and auditability, increasing regulatory risks.

Operational Bottlenecks

Without unified data flows, automation stalls, reporting slows, and leaders lack visibility.

How We Unify health data

We follow a clear, repeatable process that transforms fragmented systems into a governed, ai-ready foundation built on a unified health data platform

We Bring All Data Together

We securely connect data across your organization:
  • Clinical data (EHRs, clinical notes, patient records)
  • Operational data (CRM, scheduling systems, communication tools)
  • Financial data (billing, finance systems, revenue data)
This foundation enables reliable healthcare data integration and removes silos between systems.

Clean, Standardize & Align Data

Different systems use different logic, formats, and definitions. We apply healthcare data unification practices to align:
  • Clinician and role alignment
  • Standardized services and locations
  • Contract and pricing logic
  • Duplicate removal
  • Normalized activity types
This step improves healthcare data quality and prepares ai-ready health data.

Automate Data Flows

We build resilient data pipelines to keep the unified data layer accurate and current:
  • Daily or real-time refresh
  • Validation checks
  • Error monitoring
  • Transparent update logic
No more manual exports, reconciliation, or spreadsheet dependencies.

Build AI-Ready Models

A governed ai data layer enables:
  • Automated reporting
  • Combined clinical + financial insights
  • AI assistants and copilots
  • Agentic AI workflows
This ensures ai-ready data that produces consistent, trustworthy outputs.

Set Up Control and Ownership

We design private healthcare data environments with:
  • Role-based access
  • Activity logging
  • Compliance alignment
  • Ongoing monitoring and optimization
You retain full ownership within a secure healthcare data architecture.

The impact of Unified health data

Insights and automation are only as reliable as the data they rely on
“Our reporting and forecasting became far more accurate with one consistent data model.”
Clinical Director, UK Specialist Clinic
Up to 90% Reduction in Manual Reporting
20–35% Fewer Revenue & Activity Errors
30–50% Better Operational Forecasting
AI Outputs Become Accurate & Reliable
2–3× Faster Decision Cycles
Stronger Compliance & Audit Readiness
Insights are derived from 2024–2025 healthcare AI studies (AMA, MGMA, HFMA, NHS, HIMSS, McKinsey, Nuance DAX) and outcomes from recent GreenM projects

Success Stories

Real-world improvements in efficiency and care quality
“GreenM helped us replace spreadsheets with a unified data platform that gives us reliable insights and a strong base for AI.”
CEO, Occupational Health Provider
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Key Use Cases of Unified Health Data

Unified data enables operational excellence, trusted reporting, and AI-driven innovation.

Advanced Insights & Reporting

  • Clinic utilisation & performance
  • Provider productivity
  • DNAs, cancellations, and flow bottlenecks
  • Contract-level reporting
  • Revenue and activity analysis.

Financial + Clinical Data Matching

  • Ability to unify clinical and financial data
  • Invoice validation
  • Pricing rules
  • Contract compliance
  • Margin & activity reconciliation

Automated Cross-System Workflows

  • EHR data integration for structured outputs
  • Syncing patient/client records
  • Updating tasks, reminders, and follow-ups
  • Keeping CRM ↔ EHR ↔ Finance consistent

Reliable Data Layer for Copilots & Agentic AI

  • A scalable platform for automated summaries and reports
  • Assistant/copilot workflows
  • Multi-step agentic actions
  • Context-aware recommendations

Predictive & Operational Intelligence

  • Staffing & capacity predictions
  • Demand modelling for services & contracts
  • Operational risk alerts
  • Trend analysis for planning driven by ai-ready data

Compliance, Auditing & Regulatory Reporting

  • Consistent regulatory reporting
  • Clear lineage and traceability
  • Validated, audit-ready outputs
  • Governed data architecture

Compliance & Trust: HIPAA/NHS/GDPR-Compliant solutions

Security and compliance are foundational to every project
  • Deployment in your private cloud account or on-prem environment.
  • Zero data leaves your infrastructure.
  • Aligning with HIPAA, NHS DSPT, GDPR, FHIR, and organization-specific policies.
Your solutions operate safely, predictably, and fully within your governance framework.

Why Choose GreenM?

A Decade in healthcare

Exclusive focus on healthcare organizations, with proven experience across clinical workflows and complex operational environments.

Proven Methodology

A proven, low-risk approach that helps teams move from idea to production with clarity, speed, and measurable outcomes.

Deep System Integration

Native integration with EHR, CRM, and operational systems to enable automation across documentation, coordination, and communication.

Security & compliance

Built with HIPAA, NHS DSPT, GDPR, and FHIR principles to ensure security, compliance, and full organizational control.

Testimonials

I’ve leveraged technical help from GreenM on numerous consulting projects from basic AWS setup and administration to implementing complex design using serverless managed AWS services for rapid development of scalable solutions to clients. GreenM has always delivered on-time and is a great partner to collaborate with.
BJ Choi
SVP Engineering, Quantive Radianse
GreenM brings both deep expertise and a highly effective development team to every project they work on. In my time working with GreenM at NRCHealth, they not only delivered every project to spec and on time, but also elevated the level of our whole engineering department with their organizational and architectural best practices.
Alex Gallichotte
BI Department Lead, Fair
Great communication, fantastic partner, really smart about data and health data in particular. Senior Management are some of the best technical people I’ve ever worked with in more than 13 years. They consistently exceed expectations
Nathan Seaman
VP of Product, Human API
We have worked with Alexey and the team at GreenM on many projects and have consistently been impressed with the quality of their work. They hire very highly skilled individuals and strive to understand not just our immediate needs but the underlying issues and how we can improve the process.
Daniel Sherer
Chief Technical Officer, MedASTUTE Consulting, LLC
GreenM team has a lot of experience with AWS. They have deployed several solutions. Their knowledge is up to date and I’d highly recommend them to anyone who needs to build BI/analytics leveraging AWS.
Leonid Nekhymchuk
Chief Technical Officer, VisiQuate Inc
GreenM is Starschema’s key partner from 2021. GreenM provided its services at a time when the market was looking for the most talented resources who are not only experienced but can also quickly manage the constantly changing technology world. GreenM quickly adapted to the Starschema working culture and high standards, and delivered technical professionals who could blend in easily. GreenM is a highly recommended partner for supporting the growth of any technical company with highly skilled and motivated professionals.
Istvan Kovacs
Delivery Lead, Starschema Ltd.
Unify Your Data Into a Governed Layer
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Frequently Asked Questions

What is unified health data?

It is a single, trusted data layer that combines clinical, operational, and financial information into a consistent, governed structure.

How does unified data improve AI and automation?

AI relies on AI-ready data. It eliminates inconsistencies and enables reliable automation and accurate insights.

What's the difference between unified data and a data warehouse?

A warehouse stores data. A unified health data platform standardizes, governs, and prepares data for analytics and AI use.

How long does it take to unify healthcare data?

Most organizations achieve initial healthcare data unification within 6–12 weeks, depending on system complexity.

Can unified health data integrate with our existing EHR?

Yes. We support integration across Semble, Epic, SystmOne, CRMs, scheduling, and finance systems.

Is health data unification HIPAA/GDPR compliant?

Yes. Our approach supports private data handling, auditability, and governance aligned with HIPAA and GDPR requirements.

What systems can be connected?

Any clinical, operational, financial, or communication system with APIs or exports can be included in your unified health data environment.
Services:
Clinical Workflow Integration
AI Launchpad
Private AI Foundation
Unified Health Data
Agentic AI Systems
Scaling & Optimization
Success Stories
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