Turning intelligence into capacity.
The Health Systems Sandpit is a live operating environment to diagnose capacity issues, prototype and test new ways to deploy existing resources, and generate evidence to scale what works.
Already reconfiguring community mental health
The system has what it needs — it just can't use it.
Across knowledge, technology and workforce, the issue is not absolute shortage. It is that the system cannot reliably convert what it has into capacity where care is delivered.
Medical knowledge now doubles roughly every 25 days, yet it can still take nearly 20 years to reliably reach routine practice.
More than four in five digital health innovations never move beyond proof of concept into sustained, system-wide use.
In many services, clinicians spend over half their time gathering and entering information, rather than in direct care.
We have no shortage of intelligence, human or artificial.
The shortage is orchestration.
A capacity problem goes in, a working configuration comes out.
A capacity problem.
Start with the challenge type that needs solving — not the technology.
The Sandpit begins with a live bottleneck, pressure point or policy problem.
- Capacity is lost before the decision point.
- Work is sitting in the wrong place across people, workflow and infrastructure.
- The need is for a new configuration.
Four configurable assets.
The Sandpit assembles a fit-for-problem response.
Drawing from four resource types calibrated to the problem at hand:
- Methods — diagnostic frameworks for mapping how work and intelligence are distributed.
- Platform — software for prototyping configurations on existing digital systems.
- Live environments — real services and systems where prototypes deploy and test.
- Verticals — thirteen configurations at various stages of maturity.
A configuration ready to scale.
Who does what, where, what is automated, what is reimbursed.
Distributed across four personas: System · Clinician · Consumer · Community.
Four ways governments, services and partners can engage.
Each engagement uses the same Sandpit components, calibrated to where you need to act. Begin with one — or run them sequentially as a full configuration cycle.
Diagnose
Map where capacity is lost in current pathways. Identify which operations are misconfigured and what should change.
Configure
Design alternative resource configurations — who does what, where, what gets automated, how risk is held.
Test
Run new configurations in governed live environments with real workforce, data and patients.
Scale up
Generate decision-ready evidence — operational, clinical, economic — for procurement, policy or system rollout.
Already running in the system.
The Sandpit is grounded in live programs across multiple clinical domains — with a roadmap that cycles the same model through six verticals.
EndoZone
6,752 health reports delivered into the hands of people living with endometriosis, turning specialty knowledge into everyday decision support.
View case study →AutoMedic
Projected to free around 58,500 pharmacist hours per year across six public hospitals by reconfiguring how information gathering and reconciliation work.
View case study →AutoReview
Projected to free roughly 70,000 clinician hours per year across six community mental health regions by automating and redistributing parts of review workflows.
View case study →Operates as a governed ecosystem.
With access to national and state digital systems and cross-sector partnerships spanning hospitals, primary care, pharmacies, community services, NGOs, consumer communities and professional bodies.
Anchored by
Hosted by Australia's leading health-system design lab. Funded as Australian medical research infrastructure.
Have a capacity challenge to bring?
We work with policy teams, procurement leads, investors, and service organisations. Bring a problem, a workforce question, or a piece of policy intent we can design a configuration around.
Bring a challenge →