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Explainable organisational digital twin engine for simulating and optimising healthcare operations

Explainable organisational digital twin engine for simulating and optimising healthcare operations

Publish date: Monday, August 03, 2026

A French healthcare engineering company offers a modular organisational digital twin engine that converts existing operational data into executable models of patient flows, resources, capacities and costs. Combining process mining, discrete-event simulation and explainable machine learning, it compares scenarios, anticipates bottlenecks and supports evidence-based decisions. Partners are sought for pilots, integration, co-development and commercial deployment. TOFR20260730011
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