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Saudi Ministry of Health program

Healthcare Accessibility Intelligence

50M+

Location-to-hospital pairs

Business Problem

National planners had no defensible way to answer a basic question: how far do citizens actually travel to reach care, and which areas are underserved? Straight-line distance estimates were misleading, and no infrastructure existed to compute real travel times at national scale.

What I Built

Integrated the OSRM routing engine with the Ministry's Impala/Hive big data infrastructure to batch-compute real driving distance and travel time between population locations and hospitals, then delivered catchment-area and underserved-area intelligence on top of the results.

Scale

50M+ location-to-hospital pairs computed across all 13 regions of Saudi Arabia.

Outcome

Government entities, providers, and investors gained evidence-based accessibility intelligence now used for infrastructure planning and resource allocation, replacing assumptions with measured travel reality.

Technology

OSRMPythonImpala/Hive

Project Screenshots

Screenshots coming soon