DATA
Aged Care Specialist

Your data systems need to keep up with the new standards.

The Aged Care Act 2024 is now law. The Strengthened Aged Care Quality Standards are in effect. Providers who can't demonstrate data-driven compliance are already behind. We help you get ahead — and stay there.

See what we do
Compliance readiness
📋
Aged Care Act 2024
Rights-based framework in effect Nov 2025
Active
🏥
Strengthened ACQS
New quality standards — data evidence required
Active
🏠
Support at Home Program
Integrated Assessment Tool & funding data
Active
🤖
National AI Plan 2025
AI governance obligations for aged care
Active
📊
National Data Strategy 2024–2029
Digital infrastructure & data quality reporting
Active
$30B+
Annual government funding
to aged care providers
1M+
Senior Australians relying
on aged care services
Nov '25
New Aged Care Act
came into effect
148
Royal Commission recommendations
now being implemented

Aged care providers are drowning in data obligations — with systems that weren't built for them.

The new regulatory environment demands evidence-based care, real-time reporting, and AI-ready infrastructure. Most providers are trying to meet these requirements with disconnected tools and manual processes.

🔗
Disconnected care systems

Resident data lives in separate clinical, financial, and HR platforms that don't talk to each other — making holistic care planning and compliance reporting nearly impossible.

📄
Manual compliance reporting

Quality and safety reporting is done by hand — by people who should be focused on care. Audit season means weeks of scrambling to pull data from multiple sources.

⚖️
New standards, old infrastructure

The Strengthened Aged Care Quality Standards require data-evidenced outcomes. Most providers' data infrastructure was built for a different regulatory world.

🤖
AI with no governance guardrails

Pressure to adopt AI tools is growing, but deploying AI in aged care without proper governance creates serious compliance and ethical risk — especially for vulnerable residents.

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Poor data quality

Inconsistent data entry, missing records, and siloed databases mean that even when data exists, it can't be trusted. Decisions get made on gut feel rather than evidence.

🏠
Support at Home complexity

The new Support at Home program introduced new assessment tools and funding models that require precise data flows most providers haven't yet built.

Built specifically for aged care.

Every service we offer to aged care providers is shaped by deep understanding of the sector's regulatory context, the people it serves, and the data challenges that are unique to care environments.

01
Data Integration & System Connectivity

Connect your care management, clinical, financial, and workforce platforms into a unified data flow. Eliminate the manual data reconciliation that's burning out your team.

  • Single source of truth for resident data
  • Automated data flows between platforms
  • Reduced manual reporting burden
  • Real-time operational visibility
02
Compliance Reporting Automation

Build automated pipelines that generate your ACQS quality reports, incident tracking, and audit evidence — so your team isn't scrambling when regulators come calling.

  • Automated quality indicator reporting
  • Audit-ready data at any time
  • Incident and risk data integration
  • Aligned to current ACQSC requirements
03
AI Implementation & Governance

Introduce AI tools responsibly — with governance frameworks aligned to Australia's AI Ethics Principles and ACQSC guidelines. We ensure AI augments care, not replaces human judgement.

  • AI readiness assessment
  • ISO 42001-aligned governance framework
  • Ethical AI deployment for vulnerable populations
  • Staff training and change management
04
Data Strategy & Roadmap

Not sure where to start? We assess your current data maturity, map gaps against the National Aged Care Data Strategy 2024–2029, and give you a clear, prioritised roadmap.

  • Data maturity assessment
  • Gap analysis against ACQS requirements
  • 12–24 month data roadmap
  • Budget and resource planning

We know the standards. We build for them.

📋
Strengthened Aged Care Quality Standards
Effective November 2025 · ACQSC
Consumer dignity, independence, and choice must be actively evidenced — not assumed
Care and support planning requires documented, data-driven assessments
Organisational governance must demonstrate continuous improvement through data
Feedback and complaints data must be systematically captured and acted on
Workforce data must link to care quality outcomes
🏠
National Aged Care Data Strategy
2024–2029 · Dept of Health, Disability and Ageing
Digital infrastructure investment required to meet data interoperability targets
Providers must improve data quality, equity, and accountability reporting
Data governance frameworks must protect consumer privacy and dignity

Most providers know the standards.
Few have the data systems to prove compliance.

The gap between what the regulations require and what most aged care data infrastructure can actually deliver is the central challenge facing the sector right now.

That's not a criticism — it's a reality born from years of underinvestment in data infrastructure, compounded by a regulatory overhaul happening faster than most organisations can respond to.

We help you close that gap. Not with a theoretical framework, but with working integrations, clean data pipelines, and reporting systems that demonstrate compliance every day — not just at audit time.

On AI in aged care

The ACQSC's own AI Transparency Statement requires compliance with Australia's AI Ethics Principles and the Digital Transformation Agency's standards. Deploying AI without a governance framework in aged care isn't just risky — it's a regulatory exposure. We help you implement AI responsibly, with the documentation to prove it.

Residential Aged Care · Systems Integration & Compliance
Unifying resident data across three platforms — and automating quality reporting

A mid-size aged care provider was manually reconciling resident records across their clinical, financial, and workforce systems — a process that consumed two full days per week of a senior manager's time. When the Strengthened Aged Care Standards came into effect, the compliance reporting burden became unsustainable.

We audited their data flows, designed an integration architecture connecting all three platforms, and built automated pipelines that generate their quality indicator reports daily — and their audit evidence packs on demand.

80%
Reduction in manual reporting time
3→1
Disconnected systems unified
0
Audit findings related to data gaps
How we approached it
01
Discovery & data audit
Mapped all existing data flows, identified gaps, and assessed compliance risk under the new standards
02
Integration architecture
Designed a unified data layer connecting clinical, financial, and HR platforms with minimal disruption to operations
03
Automated reporting pipelines
Built pipelines for daily quality indicator generation and on-demand ACQSC audit evidence packs
04
Team handover & training
Trained internal staff to manage and extend the system — leaving no dependency on us
Common questions

What aged care providers ask us

We're a small-to-medium provider. Is this relevant to us?
Absolutely. The compliance obligations under the Aged Care Act 2024 apply regardless of provider size — and smaller providers often carry more risk because they have less internal data capability to fall back on. Our engagements are sized to fit your organisation.
We already have a software vendor. Do we need a consultant too?
Software vendors implement their product. We help you connect, govern, and get value from all your products — including the ones that don't integrate natively. Most aged care providers use 3–5 different platforms, and vendors rarely solve cross-platform data problems.
How long does an engagement typically take?
It depends on scope. A data audit and roadmap can be completed in 2–3 weeks. An integration project typically runs 6–12 weeks. Ongoing retainer support is available for providers who want a fractional Head of Data embedded in their team on a monthly basis.
We're being asked to look at AI tools. Where do we start?
Start with a governance framework before you touch any AI product. The ACQSC and Australia's AI Ethics Principles require transparency and accountability in AI deployments — especially for vulnerable populations. We run AI readiness assessments that tell you what's safe to implement, and what isn't.
How much does it cost?
We work on a project basis and monthly retainer — not hourly billing. A discovery and audit engagement typically starts at $8,000–$12,000 AUD. Integration and automation projects are scoped after the discovery phase. Contact us for a no-obligation conversation.

Let's assess your data readiness — before the next audit does it for you.

Free 30-minute call. No obligation. We'll tell you honestly where you stand and what we'd recommend.