Enhancing Patient Outcomes with GenAI-Driven Clinical Insights

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A leading healthcare provider in Australia sought to modernise its fragmented digital ecosystem, reduce operational inefficiencies, and unlock the potential of data and AI for improved patient outcomes. The organisation faced rising costs, siloed data systems, and compliance pressures, with limited ROI from prior technology investments.

Our engagement focused on building a future-ready digital and data foundation, embedding AI responsibly, and ensuring agility and compliance in a highly regulated environment.

Modernised healthcare data & AI capabilities—integrating clinical systems, reducing costs, and enabling patient-centric innovation across the enterprise.

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The Challenge

Business Challenges:

  • Escalating Costs: Rising IT operational expenses with limited impact on patient experience or business outcomes.
  • Fragmented Operations: Disconnected systems across hospitals, clinics, and community health services leading to inefficiencies and duplication.
  • Patient Experience Gaps: Lack of a single view of patients hindered personalised care delivery and timely interventions.
  • Regulatory Pressure: Increasing compliance demands (My Health Record, Privacy Act, accreditation standards) with high cost of non-compliance.

IT Challenges:

  • Legacy Systems: Outdated EHR, billing, and scheduling platforms restricting innovation and speed.
  • Data Silos: Patient, clinical, and operational data spread across multiple warehouses and applications, preventing a single source of truth.
  • Limited AI/Analytics Maturity: Heavy reliance on reporting rather than predictive or prescriptive analytics.
  • Cybersecurity Risks: Sensitive health data exposed to vulnerabilities with rising cyber threats across the sector.

Our Approach

  • EA Uplift & Governance: Established a modern EA function and design authority to align IT investments with clinical and business priorities.
  • Data & AI Enablement: Designed a data platform using Snowflake and Informatica for secure, governed, and scalable data integration.
  • AI Opportunity Radar: Defined and piloted AI use cases (e.g., patient flow optimisation, predictive readmission models, clinical documentation automation).
  • Cloud & Platform Optimisation: Transitioned workloads to cloud platforms for agility, cost optimisation, and resilience.

  • Trust & Compliance: Embedded data governance, privacy, and ethical AI frameworks aligned to OECD, ACSC, and national health regulations.

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Outcomes

The transformation delivered measurable improvements in patient care, operational efficiency, and regulatory compliance while modernising data and AI capabilities to support future healthcare innovation.

  • Improved Patient Care: Enabled a 360° patient view to support better decision-making and personalised healthcare delivery.
  • Operational Efficiency: Reduced IT operational costs by 20–25% while improving scalability.
  • Future-Ready Capability: Uplifted analytics maturity from reporting to AI-driven insights, improving clinical and operational performance.
  • Stronger Security & Compliance: Enhanced data protection posture, meeting national and international regulatory standards.

Program Artefacts

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Program Technology Stack

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Customer Testimonial
Before, we were marketing in the dark. Now, we know who our customers are, what they want, and how to speak to them. The 360° view has not only increased our revenue but also strengthened our customer relationships.

Sarah Langston, VP of Marketing, NovaRetail Inc.

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