A digital simulation platform that measures whether a rural patient can realistically complete a care pathway, not simply whether a clinic exists nearby.

It combines verified service availability, travel time, opening hours, transport constraints, estimated cost and referral requirements to identify inaccessible parts of the patient journey.

Potential differentiator: Simulate disruptions such as a closed clinic, unavailable transport or a cancelled service and calculate which patient groups lose access first.

Seven-day prototype: Build a fictional district with 20 villages and five clinics. Change transport availability or clinic capacity and show how access changes.

Commercial model: Sell analytics to public-health programmes, NGOs, insurers and regional hospital groups.

Novelty caution: Healthcare GIS, accessibility modelling and service-location optimization already exist. A distinctive technical contribution would need to be demonstrated through a new modelling method or a measurable improvement.