Enterprise AI & Automation

Building a Secure AI Knowledge System for Medical Education on Microsoft Azure

Building a Secure AI Knowledge System for Medical Education on Microsoft Azure

Industry

Healthcare

Service

Enterprise AI & Automation

Solution

End-to-End Delivery

Industry

Healthcare

Service

Enterprise AI & Automation

Solution

End-to-End Delivery

OVERVIEW

An Australian medical education provider delivering Continued Professional Development (CPD) to medical professionals needed to build an AI-powered expert system — cloud-based, clinically reliable, and purpose-built for the Australian medical industry on Microsoft Azure.

An Australian medical education provider delivering Continued Professional Development (CPD) to medical professionals needed to build an AI-powered expert system — cloud-based, clinically reliable, and purpose-built for the Australian medical industry on Microsoft Azure.

An Australian medical education provider delivering Continued Professional Development (CPD) to medical professionals needed to build an AI-powered expert system — cloud-based, clinically reliable, and purpose-built for the Australian medical industry on Microsoft Azure.

Client Story

Strategy and Priorities:

Deliver secure, contextually accurate medical insights to practitioners — combining AI-powered search with expert validation and structured knowledge management.

Modernize the retail banking experience to retain younger demographics and increase daily app engagement.

Digital Priorities:

Build a cloud-based expert system on Microsoft Azure combining LLM-powered search, expert-verified answers and CPD-ready content generation — designed specifically for the Australian medical industry.

Shift from a purely transactional utility to a proactive financial advisory tool.

The Challenge:

Medical professionals needed reliable AI-assisted access to vetted clinical knowledge — but existing AI systems lacked the trust, validation and compliance rigour the industry requires.

Our Collaboration:

Omnia designed and built the full system — from knowledge architecture and LLM integration to security, API design and the expert validation framework — currently rolling out to early interest customers.

We partnered with the bank’s digital and data science teams to design and validate an AI-driven homepage that anticipates user needs and provides tailored financial guidance.

CONTEXT

The Challenge

Delivering Continued Professional Development and training to medical professionals, they needed to build a cloud-based, AI-powered expert system designed specifically for the Australian medical industry, hosted on Microsoft Azure. The core challenge was trust: applying AI to medical education means every answer must be grounded in vetted clinical documents, reviewed by certified medical experts, and delivered with the security and compliance standards the healthcare sector demands. Generic AI tools couldn't meet that bar.

OUR EXPERTISE

Omnia built a system that solves the trust gap in applying AI to the Australian medical sector — combining LLM-powered search with expert validation, secure data handling and CPD-ready outputs. Practitioners receive reliable, compliant and up-to-date medical knowledge, faster and more safely than before.

How we helped

The Solution

Smart medical search

Multi-source pipeline development

Answers grounded in vetted Australian medical documents — providing practitioners with contextually accurate, clinically reliable responses through AI-powered search.

Built robust data ingestion pipelines connecting cloud platforms, CRM databases and legacy batch systems — standardising ETL/ELT processes across the organisation.

Expert-verified answers

Cloud data warehouse

Every AI response can be reviewed, rated and clarified by certified medical experts — ensuring accuracy and building practitioner confidence in the system.

Designed and deployed a scalable AWS and Snowflake architecture capable of processing billions of annual transactions — with optimised storage and compute separation for cost efficiency.

CPD-ready outputs

Data model harmonisation

Automatically generates quizzes and reflection prompts from verified answers — supporting practitioners in meeting their Continued Professional Development requirements.

Developed a high-fidelity mobile prototype featuring predictive ML spending insights, Gen-AI chat support, and dynamic UI modules.

Enterprise-grade security

Secure data sharing

HTTPS-only API, bearer token authentication, PII masking and Australian document whitelisting — built to the compliance standards the medical industry requires.

Validated the AI-driven features through extensive qualitative user testing, ensuring the algorithms felt helpful rather than intrusive.

TOOL STACK

AI Diagnostic Stack

Microsoft Azure

Microsoft Azure

OpenAI-compatible API

OpenAI-compatible API

Azure KEDA

Azure KEDA

CASE STUDIES

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