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Process mining applied to lean management model improving decision making in healthcare organizations
Rosa, Angelo Massaro, Alessandro McDermott, Olivia
Rosa, Angelo
Massaro, Alessandro
McDermott, Olivia
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Date
2023-06
Keywords
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conference paper
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Citation
Rosa, Angelo, Massaro, Alessandro, & McDermott, Olivia. (2023). Process mining applied to lean management model improving decision making in healthcare organizations. Paper presented at the 18th International Forum on Knowledge Asset Dynamics, Matera, Italy, 07-09 June.
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
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Publisher
International Forum on Knowledge Asset Dynamics
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License
CC BY-NC-ND