Proof
/ Healthcare ProvidersOptimised Layout and Patient Flows for a New Oncology Centre
Business situation
A reference hospital system in Latin America planning to relocate its oncology and haematology services to a new Cancer Centre.
The challenge
Designing a new cancer centre layout without data-driven modelling risked creating bottlenecks that would constrain capacity growth for decades, requiring expensive future CapEx remediation.
Why it matters
Quantum Rise created a data-rich environment of existing operations, built 20-year ML demand forecasts, and applied combinatorial optimisation models to produce optimal patient flow layouts and scalability plans.
What Quantum Rise delivered
The QR/OS™ approach in practice
- • Data-rich environment of existing oncology operations with clinical flow mapping • 20-year oncological demand forecast using ML (public + private data) • Combinatorial models producing optimal patient flow layouts • Area and resource sizing recommendations • Long-term scalability plans for key areas
Measurable outcome
+22% productivity with optimised clinical and patient flows. 19% increase in OR capacity without incremental CapEx.
Enabled the hospital to design a Cancer Centre that is operationally efficient at opening and scalable to 20-year demand growth without reactive capital expenditure.
What became repeatable
A data-driven healthcare facility design methodology: current-state mapping, ML demand forecasting, and combinatorial layout optimisation — reusable for any major healthcare infrastructure project.