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AI Patient Journey Tracking & Demand Forecasting for Fakeeh University Hospital

AI & Intelligent Systems

AI Patient Journey Tracking & Demand Forecasting for Fakeeh University Hospital

Designed an AI-driven patient journey tracking and healthcare demand forecasting system to improve service planning, reduce waiting times, and enhance patient experience across Fakeeh University Hospital.

Fakeeh University Hospital1 min read
  • Healthcare
  • AI Strategy & Systems Advisory

The challenge

Patient data was fragmented across disconnected systems, limiting the hospital's ability to track patient journeys end-to-end, forecast service demand accurately, or respond proactively to operational pressure. This reactive operating model affected both patient satisfaction and resource allocation efficiency.

The engagement

Bahgat Expert designed an integrated patient journey analytics framework covering EMR data unification, predictive demand modelling, and service optimisation intelligence. The architecture enabled hospital leadership to monitor patient experience metrics in real time and forecast capacity requirements across departments.

What was built
  • Healthcare data integration architecture design
  • Patient journey analytics framework
  • Predictive demand forecasting model specification
  • Patient experience monitoring dashboard design
  • AI deployment and change management roadmap

Outcome

Considering a similar engagement? Bahgat Expert accepts inbound consultations across AI, ICT, data, and digital risk.