Interoperability
The Foundation for Intelligent Healthcare
Transform fragmented clinical data into a high-velocity, AI-ready asset. We leverage HL7 FHIR and Microsoft Purview to build sovereign data estates where autonomous agents operate in a ring-fenced, governed environment.
Strategic Center of Excellence For
The Interop & AI Framework
Enhancing Care Outcomes with
Integration and Interoperability
We deliver a comprehensive data framework designed specifically for the unique regulatory and operational needs of the public sector.
HL7 FHIR & Data Liquidity
Private LLMs & Agentic AI
Ring-Fenced Intelligence
Standardizing Clinical Data for the AI Era
True interoperability goes beyond simple data exchange. We implement Azure Health Data Services to ingest, manage, and persist clinical data in the HL7 FHIR format. By standardizing diverse data streams into a unified FHIR-based Lakehouse, we create “data liquidity” across your entire enterprise.
The Outcome: A structured, high-fidelity data foundation that allows legacy systems to speak a common language, ready for real-time analytics and AI consumption.
Autonomous Solutions in a Sovereign Environment
We deploy Private Large Language Models (LLMs) that are strictly ring-fenced within your own Azure tenant. These aren’t just chatbots; they are Agentic AI workflows designed to navigate clinical data, assist with medical coding, or automate administrative triage.
Zero-Leakage Architecture: Your data never leaves the governed boundary. The AI learns from your proprietary FHIR datasets without exposing sensitive PII to public models or third-party providers.
The Outcome: High-intelligence automation that respects the “clinical wall,” providing secure support for clinicians and administrators.
Security by Design with Microsoft Purview
In healthcare, security is the baseline, not a feature. We use Microsoft Purview to create a ring-fenced environment for AI. This includes automated data labeling, PII de-identification, and real-time monitoring of AI interactions to ensure every agent operates within clinical and ethical guardrails.
The Outcome: A “locked-down” innovation hub where you can test and deploy AI agents with 100% confidence in your data residency and jurisdictional control.
Sustainable Growth: We move agencies away from “monolithic” legacy debt toward a modular, microservices-oriented data estate. This allows for the easy addition of new data sources, AI models, or citizen-facing applications without needing to rebuild the foundation.
The Outcome: An agile data infrastructure that grows with your agency’s requirements, providing a cost-effective path from initial pilot programs to department-wide digital transformation.
Clinical Decision Velocity
Provide clinicians with unified patient views, reducing the “search time” and increasing “care time.”
Scalable Compliance
Automate the heavy lifting of data classification and sensitivity labeling across millions of clinical records.
Enhanced Care Coordination
Real-time access to patient data enables seamless collaboration between primary care physicians, specialists, and emergency providers, resulting in more coordinated treatment plans.
Customer Stories
Making real life impact with data driven solutions
For Enterprise
Multi System Data Platform for YBL Disability And Health Services
An end to end Data Engineering and Analytics project in the Age Care industry for our customer Your Best Life.
End-to-End Data Engineering with Fabric
Ingest and Sync GPM, Shiftcare, Xero And Employment Hero
Lakehouse Architecture
For Large State Health Department
Health Interoperability Blueprint
We developed a strategic blueprint using our consultative advisory methodology, ensuring stakeholder buy-in across multiple groups. The target state architecture provided a clear implementation pathway with defined milestones and success metrics.
Comprehensive interoperability strategy
Detailed target state architecture with associated implementation roadmap
Clear 5-year roadmap for statewide data interoperability with dependable investment profile and measurable ROI projections
For Emmanuel College
University Admission Assistant Agent
For Emmanuel College, we developed an AI‑driven Admission Assistant that optimized how their admissions office handles and evaluates thousands of applications each cycle.
Rapid Candidate Shortlisting
Fair & Transparent Evaluations
Data‑Powered Recruitment Insights
Streamlined Admissions Workflow
For Enterprise Development Teams
AutoKT: Automatic Knowledge Transfer
AutoKT ensures that your codebase is always accompanied by up‑to‑date, actionable documentation, without adding any developer interference required.
Always‑Current Documentation
Faster Onboarding & Troubleshooting
Improved Code Quality
Enhanced Collaboration & Knowledge Retention
Capabilities
Driving Outcomes Through Interoperability
From data estate modernization to AI agents, we handle the full lifecycle.
Insights
Insights on Data, AI, and the future of data driven organisations.
From Portals to Agents: Adapting Australia’s Digital Health Strategy
The release of consumer health tools by OpenAI and Anthropic in recent weeks marks a significant shift in the global
Why “Governed AI” is the Only Cure for Shadow AI
A recent report from Computer Weekly revealed a staggering statistic: 77% of security professionals have witnessed employees exposing corporate data
Setting Up Data Governance For Your Enterprise the Right Way
Ironically in the age of AI the value of data increases even more than the big data era.Effective data governance
How to Prevent Fabric Cost Spikes and Optimise TCO
As organisations move more workloads to Microsoft Fabric, predictable cost becomes a governance problem as much as an engineering one.
Monitoring and Managing Fabric Capacity with the Metrics App
IntroductionManaging capacity in Microsoft Fabric goes beyond provisioning the right SKU — it’s about understanding how that capacity behaves under
Introduction to Fabric Capacity Management
As Microsoft Fabric matures into a production-grade analytics platform, the concept of capacity becomes central to how organizations plan, operate,
From Portals to Agents: Adapting Australia’s Digital Health Strategy
The release of consumer health tools by OpenAI and Anthropic in recent weeks marks a significant shift in the global…
Why “Governed AI” is the Only Cure for Shadow AI
A recent report from Computer Weekly revealed a staggering statistic: 77% of security professionals have witnessed employees exposing corporate data…
Setting Up Data Governance For Your Enterprise the Right Way
Ironically in the age of AI the value of data increases even more than the big data era.Effective data governance…
How to Prevent Fabric Cost Spikes and Optimise TCO
As organisations move more workloads to Microsoft Fabric, predictable cost becomes a governance problem as much as an engineering one….
Monitoring and Managing Fabric Capacity with the Metrics App
IntroductionManaging capacity in Microsoft Fabric goes beyond provisioning the right SKU — it’s about understanding how that capacity behaves under…
Introduction to Fabric Capacity Management
As Microsoft Fabric matures into a production-grade analytics platform, the concept of capacity becomes central to how organizations plan, operate,…
Let’s Build the Future of Healthcare Together.
Book a 30-minute discovery call with our architecture team to discuss your data maturity.
Brisbane, Australia
info@thblueowls.com