Process Mining Organization (PMO) Modeling and Healthcare Processes
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) wo...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Knowledge |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-9585/3/4/41 |
| _version_ | 1827574439655505920 |
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| author | Angelo Rosa Alessandro Massaro |
| author_facet | Angelo Rosa Alessandro Massaro |
| author_sort | Angelo Rosa |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T20:37:08Z |
| format | Article |
| id | doaj.art-be085eb757594b2e8c5b2ef851c876f4 |
| institution | Directory Open Access Journal |
| issn | 2673-9585 |
| language | English |
| last_indexed | 2024-03-08T20:37:08Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Knowledge |
| spelling | doaj.art-be085eb757594b2e8c5b2ef851c876f42023-12-22T14:20:22ZengMDPI AGKnowledge2673-95852023-11-013466267810.3390/knowledge3040041Process Mining Organization (PMO) Modeling and Healthcare ProcessesAngelo Rosa0Alessandro Massaro1LUM, Libera Università Mediterranea “Giuseppe Degennaro”, S.S. 100-Km. 18, Parco il Baricentro, 70010 Bari, ItalyLUM, Libera Università Mediterranea “Giuseppe Degennaro”, S.S. 100-Km. 18, Parco il Baricentro, 70010 Bari, ItalyProcess 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.https://www.mdpi.com/2673-9585/3/4/41PMOprocess miningorganizationBPMN-AIhealthcare process engineeringtelemedicine |
| spellingShingle | Angelo Rosa Alessandro Massaro Process Mining Organization (PMO) Modeling and Healthcare Processes Knowledge PMO process mining organization BPMN-AI healthcare process engineering telemedicine |
| title | Process Mining Organization (PMO) Modeling and Healthcare Processes |
| title_full | Process Mining Organization (PMO) Modeling and Healthcare Processes |
| title_fullStr | Process Mining Organization (PMO) Modeling and Healthcare Processes |
| title_full_unstemmed | Process Mining Organization (PMO) Modeling and Healthcare Processes |
| title_short | Process Mining Organization (PMO) Modeling and Healthcare Processes |
| title_sort | process mining organization pmo modeling and healthcare processes |
| topic | PMO process mining organization BPMN-AI healthcare process engineering telemedicine |
| url | https://www.mdpi.com/2673-9585/3/4/41 |
| work_keys_str_mv | AT angelorosa processminingorganizationpmomodelingandhealthcareprocesses AT alessandromassaro processminingorganizationpmomodelingandhealthcareprocesses |