How Infoveave Unified Reporting Across 18 Australian Hospitals with a Centralised Data Platform

Business Challenge: Fragmented Data Across a Multi-Hospital Network

Before Infoveave's solution, the healthcare provider relied on multiple Patient Administration Systems (WebPAS) across 18 hospitals. Each site maintained independent patient, workforce, and financial records — creating a fragmented picture that made enterprise-level decision-making nearly impossible.

The key challenges were:

• Siloed data: Each hospital ran its own reporting independently, with no cross-site visibility
• Inconsistent KPIs: Performance benchmarking across sites was unreliable due to differing definitions and data sources
• Fragmented decisions: Leadership lacked a single view of clinical, operational, and financial performance
• Manual reporting burden: Staff spent excessive time compiling reports that should have been automated
• Limited scalability: Existing systems could not support additional hospital sites or advanced analytics

Without a centralised healthcare analytics platform, the organisation could not act on data quickly or confidently — and the manual effort required to produce basic automated reports was pulling staff away from patient care.

Infoveave's Centralised Healthcare Data Platform

Infoveave used its proven 4D methodology — Discover, Define, Derive, Deliver — to design and implement a centralised reporting ecosystem across all 18 hospitals.

Discover: Analysed business requirements, engaged stakeholders across sites, and captured all reporting needs through formal requests.

Define: Defined KPIs, metrics, and report templates; identified data sources; and created a clear roadmap for delivery.

Derive: Extracted and consolidated data, developed dashboards and reports, and performed functional validation to ensure analytics readiness.

Deliver: Deployed dashboards and reports, provided training and documentation, and confirmed adoption across clinical and operational teams.

Data Integration

Automated ingestion of Patient Administration System data, workforce feeds, and financial records into unified data marts — eliminating manual data collection and ensuring consistency across sites.

Automated Workflows

Scheduled and event-driven workflows moved data from source systems through transformation layers into business-ready data marts, applying predefined business rules at each stage.

Dashboards and Reports

20 interactive dashboards and 197 automated email reports were developed, covering clinical, operational, financial, and comparative analytics across the network.

Secure, Role-Based Access

Integration with Microsoft Entra authentication ensured users could only access dashboards and reports relevant to their roles — maintaining compliance and data governance without compromising usability.

Measurable Business Outcomes

• Enterprise-wide visibility: A unified, real-time view of KPIs across all 18 hospitals for faster and more confident decisions
• Better decision-making: Accurate, standardised data enables evidence-based clinical and operational choices
• Reduced manual effort: Automation of 197 reports and 20 dashboards frees staff to focus on patient care
• Scalable platform: Easily supports new hospital sites, additional data sources, and advanced analytics as the network grows
• Stronger governance: Standardised KPIs and a single source of truth improve compliance and reporting confidence across the organisation

To Summarize

Infoveave transformed a fragmented, multi-hospital reporting landscape into a centralised, scalable, and secure Enterprise Data Warehouse. By consolidating data from 18 hospitals, standardising KPIs, and automating reports and dashboards, Infoveave enabled faster and smarter decision-making, improved operational efficiency, and established a foundation for data-driven healthcare management across the network.

This implementation shows how a unified data platform can address the core challenges of multi-site healthcare organisations — delivering consistent insights at scale without increasing the burden on clinical and operational staff.

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