The AI-Powered Capacity Intelligence Platform

While others analyse what happened, MyIQ Health predicts what will happen -- powered by Claude AI and proven Azure infrastructure.

Technical Architecture

AI-first technology stack built on 10+ years of production-grade infrastructure

MyIQ Health Platform Architecture - Source systems feed through MyIQ Gateway, Azure Functions ETL, MyIQ Data Warehouse (Kimball Star Schema), and Azure Analysis Services. The AI Orchestration Layer features Claude AI, AI Forecasting, Ask MyIQ Health, and Demand Prediction. Outputs include MyIQ Web Application and Power BI Analytics.

Data and Analytics Platform

1

INTEGRATE

MyIQ Gateway, Azure Functions, HL7 FHIR connectors

Ingest and normalise data from heterogeneous hospital source systems: PAS/EMR (TrakCare, iPM), HL7/Rhapsody messaging, rostering (Core Schedule), financials, lab/radiology.

2

CONSOLIDATE

Azure SQL Database, Kimball star schema, Azure Data Factory

Enterprise data warehouse with health-specific Kimball dimensional modelling. Automated ETL for admissions, discharges, transfers, bed census, rostering, and financial data.

3

ANALYSE

Power BI Premium, DAX-based health KPI models

Power BI semantic models with pre-built health KPIs. Real-time dashboards with drill-down views for capacity planners, operations managers, and executives.

4

PREDICT

Best-practice time-series forecasting, Azure ML

AI forecasting engine using industry best-practice time-series models for demand and occupancy forecasting. ~96% average forecast accuracy demonstrated across 14 Australian hospitals.

AI

ASK

Anthropic Claude via MCP (Model Context Protocol)

Conversational AI powered by Claude for natural language capacity queries. Agentic architecture -- Claude orchestrates answers from data warehouse, forecast models, and documents in real-time.

MyIQ Health vs Traditional Analytics

CapabilityTraditional AnalyticsMyIQ Health
Primary FocusHistorical reporting and visibilityAI-powered capacity intelligence
Decision SupportDescribes what happenedPredicts what will happen
AI CapabilitiesLimited or noneClaude AI orchestration + ML forecasting
ImplementationComplex consultant-driven deploymentRapid integration through proven methodology
Team ApproachGeneralist across multiple domainsSpecialist hospital capacity experts
Data AccessDashboards and reportsConversational AI + dashboards + reports
Value DeliveredComprehensive operational reportingProactive bottleneck prevention + reporting

Core Modules

Demand Forecasting

Predict patient flow before capacity issues occur. Analyse admission patterns, seasonal trends, and external factors. Generate actionable predictions in advance.

Resource Optimisation

Allocate staff based on predicted needs. Anticipate staffing requirements before shortages occur. Balance workloads across departments proactively.

Bottleneck Prevention

Identify and prevent constraints before they impact care. Predict capacity conflicts, anticipate bed availability challenges, and prevent resource shortages.

Integration Capabilities

Ready-made healthcare connections. PAS/EMR systems, Laboratory Information Systems (LIS), Radiology Information Systems (RIS), staffing and scheduling systems.

Platform in Action

Hospital Overview Dashboard

Hospital Overview Dashboard

Emergency Department Dashboard

Emergency Department Dashboard

The AI Planning Loop

1. Set Assumptions

Planner sets assumptions via Claude conversation -- seasonal patterns, elective schedules, budget constraints.

2. AI Forecasting

AI forecasting runs industry best-practice time-series models across admissions, discharges, and transfers -- delivering ~96% accuracy.

3. Real-Time Projection

Short-term projections (24-72hr) combine real-time PMS data with forecast models for immediate operational decisions.

4. Dashboard Delivery

Power BI dashboards surface capacity plans, bed availability, and staffing recommendations for all stakeholders.

Compliance and Data Governance

MyIQ Health processes hospital operational data (admissions, discharges, transfers, bed census, rostering, and financial data) but does not process or store individual patient clinical records, diagnostic data, or treatment information. The platform is classified as an operational analytics tool, not Software as a Medical Device (SaMD).

New Zealand

Compliant with Health Information Privacy Code 2020 (HIPC) and Privacy Act 2020. Operational data anonymised and aggregated.

Australia

Designed for compliance with state-level health privacy legislation. SOC 2 Type II certified Azure infrastructure.

Cloud Infrastructure

Microsoft Azure hosting with SOC 2 Type II, ISO 27001 certification, and Australian data residency options.

Security Roadmap

Essential 8 cybersecurity maturity and NSQHS Standards alignment on the compliance roadmap.

See the Platform in Action

Schedule a live demo to see how AI-powered capacity intelligence works with your hospital data.

Request a Demo