Unified Health Data for Clinics and Care Providers

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 when that data lives in silos, teams cannot produce reliable insights, automate workflows, or build safe, predictable AI.
“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

Siloed data limits the ability to maintain a complete and consistent view of activity.

Manual Spreadsheets

Hours are spent exporting and fixing spreadsheets, slowing insight delivery.

No Single Source of Truth

Inconsistent data undermines confidence in operational and revenue decisions.

AI Can't Work on Bad Data

Data quality issues increase the risk of hallucinated insights and failed AI 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 turns scattered data into one clean, governed, AI-ready layer

We Bring All Your Data Together

Securely connect all your data across key layers of your organization:
  • Clinical data (EHRs, clinical notes, patient records)
  • Operational data (CRM, scheduling systems, communication tools)
  • Financial data (billing, finance systems, revenue data)
Now everything flows into one place, eliminating scattered data sources and silos.

Clean, Standardize & Align Data

Systems use different names, formats, and logic.We unify everything into a consistent structure:
  • Clinician and role alignment
  • Standardized services and locations
  • Contract and pricing logic
  • Duplicate removal
  • Normalized activity types
Clean data is the foundation of accurate reporting and safe AI.

Automate Data Flows

Your data stays up-to-date automatically:
  • Daily or real-time refresh
  • Validation checks
  • Error monitoring
  • Transparent update logic
No more manual exports or reconciliation.

Build AI-Ready Data Models

Structured semantic models enable:
  • Automated reporting
  • Combined clinical + financial insights
  • AI assistants and copilots
  • Agentic AI workflows
This foundation ensures safe, trustworthy AI outputs.

Set Up Control and Ownership

We work to secure, monitor, and govern sensitive data:
  • Role-based access
  • Activity logging
  • Compliance alignment
  • Ongoing monitoring and optimization
You maintain ownership, we help you use it effectively.

The imact of Unified health data

Insights and AI-driven automations are only as good 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 health data enables operational excellence, reliable 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

  • Invoice validation
  • Pricing rules
  • Contract compliance
  • Margin & activity reconciliation

Automated Cross-System Workflows

  • Sending structured outputs to EHRs
  • Syncing patient/client records
  • Updating tasks, reminders, and follow-ups
  • Keeping CRM ↔ EHR ↔ Finance consistent

Reliable Data Layer for Copilots & Agentic AI

  • Automated summaries & reports
  • Syncing patiAssistant/copilot workflowsent/client records
  • 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

Compliance, Auditing & Regulatory Reporting

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

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

We work with clinics, specialty providers, OH organizations, and digital health teams.

Private-First Architecture

All solutions run in your secure environment, fully under your control.

Automation Track Record

Delivered across documentation, reminders, intake, triage, coordination, and communication.

Fast Solutions Delivery

First working automation in just 6 weeks! Minimal risk, maximum clarity.

Deep EHR & Ecosystem Integration

Epic, Semble, Pabau, PAS, scheduling, CRM, WhatsApp, Teams and more.

Compliance-First Engineering

HIPAA, NHS DSPT, GDPR, FHIR — not as a checkbox, but as a foundation.

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?

A single, consistent, trusted data layer that combines clinical, operational, and financial information from all systems.

How does unified data improve AI and automation?

AI needs clean, structured data to avoid hallucinations and produce reliable outputs. Unified data provides exactly that.

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

A data warehouse stores data,it’s infrastructure. Unified health data is the intelligent layer on top that organizes, standardizes, and governs it.

How long does it take to unify healthcare data?

Most organizations see results in 6–12 weeks, depending on system complexity.

Can unified health data integrate with our existing EHR?

Yes. Semble, Epic, SystmOne, Xero, CRMs, scheduling systems, HR tools, and other data sources.

Is unified health data HIPAA/GDPR compliant?

Yes. GreenM builds unified health data layers aligned with HIPAA and GDPR requirements, including data minimization, role-based access control, encryption in transit and at rest, and full auditability.

What systems can be connected?

Any clinical, operational, financial, or communication platform with exports or APIs.
Services:
Clinical Workflow Integration
AI Launchpad
Private AI Foundation
Unified Health Data
Agentic AI Systems
Scaling & Optimization
Success Stories
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