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Graduate venture concept · CareBridge

Mobile Diagnostics Venture

A healthcare service-design project that tested a mobile cardiac-diagnostics concept through operating assumptions, break-even math, cash flow and a gated rollout — not just a pitch narrative.

Project contextGraduate venture concept · Team of 4 · Financial figures based on the final July 2026 model.

Decision summary

Problem

Improve diagnostic access without ignoring staffing, equipment, utilization and cash.

Evidence

A 36-month operating and financial model tested throughput, clinic-day economics, break-even timing and rollout assumptions.

Decision

Use staged rollout and funding gates so scale depends on operating and cash performance.

My role

Co-developed the venture and operating model; built and refined the integrated financial model.

Can a clinic-hosted diagnostic service improve access while still surviving the economics of staffing, equipment, utilization and cash?

Operating model

The service moves the testing operation closer to the patient.

Host clinicRoom + patient access
CareBridgeCoordinates the mobile testing day
Technologist + equipmentDelivers the diagnostic test
Specialist partnerInterpretation + payment pathway
36 monthsintegrated forecast
C$400Kstaged seed proposal
Month 21first EBITDA-positive month
4 sitesmodeled by Month 36

The concept moves a testing day, not a patient journey.

CareBridge uses a clinic-hosted model for cardiac diagnostics: the clinic provides room and patient access; CareBridge coordinates the mobile testing operation; and a cardiology or diagnostic partner handles medical interpretation and the payment pathway.

The final model made utilization the central financial driver.

The final spreadsheet uses C$110 of revenue per completed test and a mature throughput assumption of 13 tests per clinic day. At that level, a mature clinic day produces C$1,430 of revenue and C$522.20 of contribution before recurring overhead.

Operational risk was more important than technology novelty.

The model depends on enough booked demand, reliable technologist and equipment coverage, partner reporting, quality controls and a clinic-day cadence that can support fixed costs. That is why the rollout is staged rather than assuming all sites operate at full capacity from day one.

Scale became conditional on cash and operating gates.

The 36-month model reaches its first EBITDA-positive month in Month 21 and first net-income-positive month in Month 23. It models four fixed accredited host sites by Month 36, with staged openings rather than a single launch event. The proposed C$400,000 seed investment is split into two tranches so later deployment depends on progress.

Selected work product

Selected project evidence.

What I took from it

A financial model is most useful when it exposes the operating assumptions you are tempted to hide inside an average. Here, tests per day, clinic-day cadence and rollout timing mattered more than the elegance of the pitch.

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