Process Mining Organization (PMO) Modeling and Healthcare Processes

Author:

Rosa Angelo1ORCID,Massaro Alessandro12ORCID

Affiliation:

1. LUM, Libera Università Mediterranea “Giuseppe Degennaro”, S.S. 100-Km. 18, Parco il Baricentro, 70010 Bari, Italy

2. LUM Enterprise srl, S.S. 100-Km. 18, Parco il Baricentro, 70010 Bari, Italy

Abstract

Process mining organizatioQn (PMO) is an innovative approach based on artificial intelligence (AI) decision making suitable for designing healthcare processes for human resource (HR) organizations. The proposed work suggests some examples of PMO-based Business Process Modeling and Notation (BPMN) workflows by highlighting the advances in HR management and in risk decrease according to healthcare scenarios. Specifically proposed are different examples of “TO BE” process pipelines related to an upgrade of the organizational healthcare framework, including digital technologies and telemedicine. Important elements are provided to formulate HR management guidelines supporting PMO design. The proposed BPMN workflows are the result of different consulting actions in healthcare institutions based on the preliminary mapping of “AS IS” processes highlighting bottlenecks and needs in HR organization. A pilot experimental dataset is used to show how it is possible to apply AI algorithms providing organization corrective actions. The paper is mainly focused on discussing some validated BPMN models managing HR in the healthcare sector. The methodology is based on the application of the BPMN approach to deploy human resource organizational processes. The results show AI data-driven workflows adopted in healthcare and examples of AI fuzzy c-means outputs addressing organizational actions.

Publisher

MDPI AG

Subject

General Medicine

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