Analysis of the Relationship Between Knowledge Management and Lean Tools During Lean Implementation in Hospitals

Rosa, Angelo; Marolla, Giuliano; McDermott, Olivia

doi:10.1007/978-3-031-25741-4_7

Cited by 2 publications

(3 citation statements)

References 27 publications

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“…PMO is defined in a healthcare environment as the workflow optimizing HR organization through an AI decision-making engine. Specifically, in healthcare scenarios, the new concept PMO is based on the integration of AI algorithms in improving the organization, such as for fall-risk management procedures adopted in public hospitals [12].…”

Section: Main Research Topic: Process Mining Organization (Pmo) Modelingmentioning

confidence: 99%

“…The workflows of Figures 2-5 emerged from the case study discussed in [12]: the HR organizational models proposed in this paper were furthermore improved based on the fall-risk assessment supported by AI data processing (see the results of Appendix A highlighting the need for a training plan to execute and a possible reallocation of the medical staff according to data processing). The workflow of Figure 7 was designed following the case study discussed in [13] regarding the telemedicine monitoring processes for homecare assistance.…”

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confidence: 99%

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Process Mining Organization (PMO) Modeling and Healthcare Processes

Rosa,

Massaro

2023

Knowledge

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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.

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Section: Main Research Topic: Process Mining Organization (Pmo) Modelingmentioning

confidence: 99%

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confidence: 99%

Process Mining Organization (PMO) Modeling and Healthcare Processes

Rosa,

Massaro

2023

Knowledge

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“…Many studies have been conducted on the relationship between lean, a philosophically driven management technique for organizational performance and sustainable development (sustainability), a philosophy characterised by principles. In a hospital environment, Rosa et al (2023) highlighted the connections between lean tools, knowledge management and lean sustainability. Lean organisations have a positive impact on organisational performance, allowing them to grow in accordance with sustainable principles (Mårtensson et al , 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Readiness of lean sustainability in healthcare organizations

Thomas,

Suresh

2023

IJPHM

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Purpose This paper aims to “identify,” “analyse” and “categorise” the readiness factors of lean sustainability in health-care organisation using total interpretive structural modelling (TISM). Design/methodology/approach To obtain the data, a closed-ended questionnaire was used in addition to a scheduled interview. To identify how the factors interact, the TISM approach was used, and the matriced’ impacts croise’s multiplication applique’e a UN classement (MICMAC) analysis was used to rank and categorise the lean sustainability readiness factors. Findings This study identified ten lean sustainability readiness factors for health-care organisation. The identified factors are resources utilization practice (F1), management commitment and leadership (F2), operational flexibility (F3), workforce engagement and time commitment (F4), sustainability motivational factors (F5), awareness of lean and sustainable practice (F6), hospital design (F7), energy efficiency practices in hospitals (F8), responsible autonomy (F9) and new system adoptability training (F10). The key/driving factors are identified in this study are operational flexibility, sustainability motivational factors, management commitment and leadership, new system adoptability training. Research limitations/implications The study focussed primarily on lean sustainability factors for the health-care sector. Practical implications This research will aid key stakeholders and academics in the better understanding the readiness factors that influence lean sustainability in health-care organisation. This study emphasises the factors that must be considered when applying lean sustainable practices in health care as a real-world application in a health-care organisation. These readiness factors for lean sustainability can be used by an organization to comprehend more about the concept and the components that contribute to health-care lean sustainability. Originality/value This study proposes the TISM technique for health care, which is a novel attempt in the subject of lean sustainability in this sector.

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Analysis of the Relationship Between Knowledge Management and Lean Tools During Lean Implementation in Hospitals

Cited by 2 publications

References 27 publications

Process Mining Organization (PMO) Modeling and Healthcare Processes

Process Mining Organization (PMO) Modeling and Healthcare Processes

Readiness of lean sustainability in healthcare organizations

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