Specialization of Business Process Model and Notation Applications in Medicine—A Review

Tomášková, Hana; Kopecký, Martin

doi:10.3390/data5040099

Cited by 13 publications

(3 citation statements)

References 129 publications

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“…This implies that the ERP system has been designed and implemented effectively, and all specified functions function as intended. Developing the traceability system in an ERP application helps overcome several crucial challenges in the supply chain of halal beef products [33]. In traditional business processes, unstructured data is the main obstacle in tracking product journeys [34].…”

Section: Discussionmentioning

confidence: 99%

Assurance of Halal Beef Products Using a Traceability System in Enterprise Resource Planning Applications

Kusnadi,

Arkeman,

Syamsu

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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This research addresses the critical issue of maintaining consumer trust in the halal products within the Indonesian context, specifically focusing on beef products. Recognizing the vulnerability of halal products and counterfeit certificates, the study proposes an innovative solution through the implementation of an Enterprise Resource Planning (ERP) application. This application is designed to trace and monitor the halal beef supply chain, aligning with the certification standards set by the Indonesian Ulema Council (MUI). The choice of beef as the subject of this study stems from its high susceptibility to counterfeiting and the complexity of its supply chain. The research utilizes an ERP system for its comprehensive enterprise-level management capabilities, including aspects of purchasing, inventory, and manufacturing. This technology integration aims to address the challenges in tracing halal beef products from their origin to the consumer (upstream to downstream), ensuring compliance with halal requirements and optimizing the supply chain. Methodologically, the development of this traceability system adheres to the System Development Life Cycle (SDLC), employing a modified waterfall model. The system’s efficacy is evaluated through Blackbox testing, demonstrating its capability to effectively track the journey of halal beef products. It ensures validation at each stage of the supply chain in accordance with MUI’s halal certification criteria and provides rapid tracking capabilities in emergency situations. In conclusion, this study presents a significant technological innovation in the field of halal product assurance. It offers an integrated solution that combines information technology and management principles to uphold the integrity of halal products, thereby safeguarding consumer trust and supporting the reputation of conscientious manufacturers in Indonesia.

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Section: Discussionmentioning

confidence: 99%

Assurance of Halal Beef Products Using a Traceability System in Enterprise Resource Planning Applications

Kusnadi,

Arkeman,

Syamsu

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…Standard Business Process Model and Notation (BPMN, v2.0) was utilised to represent the architecture. According to Tomaskova and Kopecky [30], BPMN can be thought of either as a language for creating business process models or as a standard for modelling business processes. By utilising BPMN, one may consider the unique processes and entities of a system, as well as their interactions.…”

Section: Methodsmentioning

confidence: 99%

Prediction and Visualisation of SICONV Project Profiles Using Machine Learning

Andrade

Marques²,

Resende

et al. 2022

Systems

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Background: Inefficient use of public funds can have a negative impact on the lives of citizens. The development of machine learning-based technologies for data visualisation and prediction has opened the possibility of evaluating the accountability of publicly funded projects. Methods: This study describes the conception and evaluation of the architecture of a system that can be utilised for project profile definition and prediction. The system was used to analyse data from 20,942 System of Management of Agreements and Transfer Contracts (SICONV) projects in Brazil, which are government-funded projects. SICONV is a Brazilian Government initiative that records the entire life cycle of agreements, transfer contracts, and partnership terms, from proposal formalisation to final accountability. The projects were represented by seven variables, all of which were related to the timeline and budget of the project. Data statistics and clustering in a lower-dimensional space calculated using t-SNE were used to generate project profiles. Performance measures were used to test and compare several project-profile prediction models based on classifiers. Results: Data clustering was achieved, and ten project profiles were defined as a result. Among 25 prediction models, k-Nearest-Neighbor (kknn) was the one that yielded the highest accuracy (0.991±0.002). Conclusions: The system predicted SICONV project profiles accurately. This system can help auditors and citizens evaluate new and ongoing project profiles, identifying inappropriate public funding.

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“…Business Process Model and Notation (BPMN) is a standard for describing processes that can be implemented later in a process-aware information system. Although it is being increasingly and successfully used in healthcare organizations (Tomaskova and Kopecky, 2022), its application in the health sector has several challenges (Kassim et al. , 2022).…”

Section: Introductionmentioning

confidence: 99%

Patterns for modeling process variability in a healthcare context

Kirchner,

Laue,

Edwards

et al. 2023

BPMJ

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PurposeMedical diagnosis and treatment processes exhibit a high degree of variability, as during the process execution, healthcare professionals can decide on additional steps, change the execution order or skip a task. Process models can help to document and to discuss such processes. However, depicting variability in graphical process models using standardized languages, such as Business Process Model and Notation (BPMN), can lead to large and complicated diagrams that medical staff who do not have formal training in modeling languages have difficulty understanding. This study proposes a pattern-based process visualization that medical doctors can understand without extensive training. The process descriptions using this pattern-based visualization can later be transformed into formal business process models in languages such as BPMN.Design/methodology/approachThe authors derived patterns for expressing variability in healthcare processes from the literature and medical guidelines. Then, the authors evaluated and revised these patterns based on interviews with physicians in a Danish hospital.FindingsA set of business process variability patterns was proposed to express situations with variability in hospital treatment and diagnosis processes. The interviewed medical doctors could translate the patterns into their daily work practice, and the patterns were used to model a hospital process.Practical implicationsWhen communicating with medical personnel, the patterns can be used as building blocks for documenting and discussing variable processes.Originality/valueThe patterns can reduce complexity in process visualization. This study provides the first validation of these patterns in a hospital.

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Specialization of Business Process Model and Notation Applications in Medicine—A Review

Cited by 13 publications

References 129 publications

Assurance of Halal Beef Products Using a Traceability System in Enterprise Resource Planning Applications

Assurance of Halal Beef Products Using a Traceability System in Enterprise Resource Planning Applications

Prediction and Visualisation of SICONV Project Profiles Using Machine Learning

Patterns for modeling process variability in a healthcare context

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