Purpose Business Process Model and Notation (BPMN) is a generic language that is often extended by researchers, either for dealing with processes of specific domains or for improving the language itself. The purpose of this paper is to present a literature review that aims to determine the current state of the art of BPMN extensions and identify the gaps that should be filled in this research area. Design/methodology/approach For a comprehensive and effective analysis, a systematic literature review was conducted. After the collection and filtering of papers, 52 extensions were retained to be thoroughly examined and compared according to a set of criteria including objective, targeted domain, conformity to the extension mechanism, demonstration, implementation, etc. Findings The representation of the results in the form of tables and graphs allowed the authors to deduce several positive points on the extensions as their demonstration through concrete examples. On the other hand, the authors have observed several shortcomings and suggested recommendations for addressing them. Originality/value To the best of the authors’ knowledge, the literature review is the only one that evaluates and compares all BPMN extensions over the last four years, based on several criteria covering different aspects. Furthermore, the authors were able to verify the conformity of extensions as they were published after the introduction of the BPMN extension mechanism by the Object Management Group.
The business process outsourcing (BPO) remains among the most adopted strategies by organizations to cope with the harsh competition of today's market. This practice has been intensified with the advent of the Cloud computing that has attracted companies by its new way of consuming and paying for resources. Nevertheless, the exposure of business processes (BPs) to Cloud-related threats and non-compliance risks as well as the diversity of Cloud offers in terms of price and quality are ones of the biggest obstacles in BPO to the Cloud. The organizations should therefore examine different factors to determine which BP parts to outsource and to assign them the most suitable Cloud offers. This article proposes a decision-making support called DMS4BPO that helps organizations in outsourcing their BPs to the Cloud by considering security, compliance, cost and performance criteria. DMS4BPO includes on the one hand an AHP-based method for the Cloud offer selection, and on the other hand, a Business Intelligence-based method for the exploitation of the execution history.
-The sharing of medical information among healthcare providers is a key factor in improving any health care system. By providing opportunities for sharing and exchanging information and knowledge, data center, agent and ontology play a very important role in the field of medical informatics. In this paper, we propose a design of architecture and data center for the development of a Hospital information system (HIS) based on agents and ontology. Health networks in general, are supported by IS. These IS are structured particularly around medical record to support the storage, access, dissemination and sharing of patient information [1] .To be more effective and to make the right decisions at the right time, Hospital information systems (HIS) needto have high quality of information: relevant, reliable, accurate and actual. In addition, this information must be stored, updated and made available to the different actors involved in the care system whenever is necessary. For care providers, information is a strategic resource that is essential to be mastered because it contributes to the quality of decision. It is the role of HIS to disseminate information, regardless its nature, to relevant stakeholders.The HIS is a typical collaborative information system in which people such as physicians, nurses, professors, researchers, health insurance personnel, etc. share patient information (including text, images, and multimedia data).It makes data available for the following uses: patient care, administrative and business management, monitoring and evaluating medical care services, epidemiological and clinical research, and planning of medical care resources [2] .
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.