"Rule learning"

Towards optimizing hospital patient transports by automatically identifying interpretable causes of delays

The continuous financial pressure on hospitals forces them to rethink various workflows. We focus on optimizing hospital transports, within the hospital, as they count up to 30% of the overall hospital cost. In this paper, we discuss a self-learning …

Context-aware and self-learning dynamic transport scheduling in hospitals

Learning semantic rules for intelligent transport scheduling in hospitals

Mining semantic rules for optimizing transport assignments in hospitals

Semantic context consolidation and rule learning for optimized transport assignments in hospitals

The increase of ICT infrastructure in hospitals offer opportunities for cost reduction by optimizing workflows, while maintaining quality of care. This work-in-progress poster details the AORTA system, which is a semantic platform to optimize …