Process Mining Applied to Lean Management Model Improving Decision Making in Healthcare Organizations

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

Abstract

The paper introduces an innovative approach to model risks in healthcare finding possible solutions in organization models and about Human Resources (HR) managing. Specifically, the method is based on the application of the Business Processing Modelling and Notation (BPMN) workflows in healthcare environments merging Lean management methods and Artificial Intelligence (AI) decision making approaches. The discussion begins with a case study about risk management integrating AI to enable a Decision Support System (DSS) thus defining the innovative BPMN Process Mining (PM) models. The BPMN-PM models are based on AI risk prediction and AI risk classification suitable to optimise the whole HR organizational model. In the specific case study, the AI algorithms allows the optimization of risk assessment. Finally, the work discusses some theoretical BPMN-PM models to integrate in more complex healthcare processes managing efficiently HR. The proposed work provides information about the process design and the key-reading to interpret BPMN-PM workflows
Original languageEnglish (Ireland)
Title of host publication8th International Forum on Knowledge Asset Dynamics PROCEEDINGS IFKAD 2023
Place of PublicationMatera-Italy
DOIs
Publication statusPublished - 1 Jun 2023

Authors (Note for portal: view the doc link for the full list of authors)

  • Authors
  • Angelo Rosa, Alessandro Massaro, Olivia McDermott

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