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Improve Hospital Management Through Process Mining, Optimization, and Simulation: the CH4I-PM Project

  • Massimiliano Ronzani,
  • Emilio Sulis

摘要

The growing digitalization of society opens up the exploitation of new IT techniques in the healthcare sector. This report presents an application of AI techniques such as prediction, optimization, and automated knowledge extraction with process mining from hospital information system data. In addition, a simulation effort with Building Information Modeling and Agent-Based Modeling techniques has been performed. The present report describes practical cases and the lesson learned from planning, management, and coordination activities of the project as a whole.