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Clinical Data Mesh for a 28-Hospital Network

Unifying fragmented clinical, operational, and financial data across a regional hospital network into a federated data mesh — enabling AI-driven clinical decision support and population health management at scale.

KEY RESULT−28% Readmission Reduction
CLIENT PROFILERegional Health System (28 Hospitals)
ENGAGEMENT TIMELINE20 Months
CORE SERVICES
✓ Data Architecture Design✓ Clinical AI Strategy✓ HIPAA Compliance Framework

The Challenge

The health system had accumulated 28 distinct EHR implementations across its network following a decade of acquisitions, with no data interoperability between facilities. Clinicians treating patients across sites had no access to complete medical histories, and population health programmes were running on export-and-email workflows.

HIPAA requirements and state privacy laws across three jurisdictions created a compliance landscape that ruled out centralising patient data — demanding a federated architecture that enabled analytics without data movement.

The Strategic Solution

1.

FHIR-Based Data Fabric

Implemented a FHIR R4-compliant API layer across all 28 EHR instances, creating a unified clinical data fabric that enables real-time data access across the network without requiring centralisation.

2.

Federated Analytics Platform

Deployed a federated query engine enabling population health analysts to run aggregate queries across the entire patient population without any patient data leaving its originating facility — satisfying HIPAA requirements across all jurisdictions.

3.

AI Clinical Decision Support

Trained sepsis, readmission, and deterioration risk models on the federated data fabric, deploying real-time clinical alerts directly into clinician workflows across all hospital sites.

Measurable Outcomes

READMISSION RATE−28%

Reduction in 30-day readmissions via AI-driven discharge risk scoring.

SEPSIS DETECTION4.2 hrs

Earlier average sepsis detection versus pre-deployment baseline.

DATA COMPLIANCEZero

HIPAA violations or data sovereignty breaches throughout the programme.

“

We had 28 data silos and no way to see our patients as whole people across the network. Agradiant gave us that. The clinical impact was measurable within the first quarter.

Dr. Sarah OkonkwoChief Medical Informatics Officer

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