Towards using visual process models to control enterprise systems functionalities

Tokenization has become a central data security strategy in healthcare focused on the feeder of data breaches, fraud, and non-compliance. The process involves replacing sensitive patient data with a non-sensitive placeholder, or token, which behaves exactly as the original data did but without any exploitable value. Tokenization in healthcare systems allows integration of that which helps mitigate the risks of cyber-attacks and data theft by eliminating the storing of sensitive information (personal health details and financial records) in its original form. Tokenization is used by healthcare organizations to dramatically increase privacy and patient trust and decrease the risk of compliance violations concerning regulations like HIPAA and GDPR. On the other hand, tokenization is more secure than encryption, which needs key management and can be susceptible to reverse engineering attacks, where tokens cannot be reverse-engineered without approved access to a secure vault. It also eases the security infrastructure, reduces operational costs, and facilitates regulatory compliance. Tokenization in health care systems would only work if IT infrastructure integration is careful, adheres to the industry’s standards, and has staff trained. The paper covers tokenization advantages over other data protection methods, real applications, and the future of tokenization in healthcare as it develops alongside the technology. Tokenization is critical in ensuring that data is transmitted safely and securely in a digital world.

This study aims to analyze the implementation of information technology infrastructure at the Alfamart Sukarami Palembang branch, identify the main components of IT infrastructure used, and describe the challenges and obstacles faced in its management. Utilizing a descriptive qualitative research method, data were collected through direct observation at the store and secondary data analysis from various reliable sources. The results indicate that Alfamart has implemented an integrated IT infrastructure, including hardware (cash registers, barcode scanners), software (internal retail systems), communication networks (VPN, intranet), data centers, information security systems, and cloud computing technology. This infrastructure supports operational efficiency, transaction service speed, and data management accuracy. Based on SWOT analysis, Alfamart possesses strengths in providing facilities and customer-friendly services, but faces challenges such as intense competition and obstacles in goods distribution. This study recommends enhancing IT infrastructure, employee training, increased promotion, regular system evaluation, and maximizing the use of cloud technology to improve Alfamart’s competitiveness in the modern retail industry.

This paper investigates the concept of architecture by examining 10 Enterprise Architecture Frameworks (EAF) for critical IT infrastructure (CITI) design such as Zachman’s, TOGAF, FEAF, DoDAF, BMDAF, NATOAF, TEAF, GEAF, RM-DOP, SOA. Architecture plays a major role in the development of information systems. The act of architecture design in the development cycle is generally understood to be systematic analysis and design of related information to provide a model for guiding the actual development of information systems.To date, there are more than 100 platforms for the development of architecture, which are divided for use in defense, government, open-source, proprietary. The platform helps to improve the understanding of the topic by providing systematic approaches to architectural design and development, but many aspects of architecture remain ambiguous. The uncertainty concerns the following: architecture (whether the architecture should cover only the software components or include other aspects of the development of critical IT infrastructure), the role of the architect (the role of the architect in the lifecycle of critical IT infrastructure development is often unclear), the results (which should be the result of architectural work – business function documents or a detailed project of critical IT infrastructure), architectural activities (includes design and modeling, but what level of detail is required use and when detailed design starts), architecture testing (how much we need to evaluate, check architecture design results), system requirements (size and complexity, whether systems of different sizes and complexity have the same system requirements for architectural design results), architecture level (which the relationship between the architecture of critical infrastructure enterprise and the stand-alone architecture of the critical IT infrastructure). For the architecture of a complex system such as critical IT infrastructure, there are provided considerations, which consist of several dimensions such as business requirements, technical requirements, criteria, current architecture and future architecture. We propose to analyze AF from different points of view. At first, we analyze AF in terms of their goals, inputs and outcomes. At second, each EAF was analyzed in the terms of Concepts, Modeling, and Process. As a third and fourth point of view, we use some qualitative and quantitative metrics for AF analysis.

Conceptual modeling languages are purposeful artifacts, hence their design should also start from the purpose that they serve. Such purposeful design addresses the requirements engineering concern of a language specification being aligned with the goals of its users. Thereby relevance of the language is ensured, instead of developing a language for language's sake. We posit that this addresses some known issues that are due to a misalignment between a language's specification and the goals of its intended users. In this paper, we introduce vGREL, a goal- and value-oriented approach for purposeful language development. vGREL helps language engineers to start the design of conceptual modeling languages with requirements engineering exercises. To this end vGREL provides (1) a purpose driven requirements engineering process for language design; (2) a value profile for the Goal- oriented Requirements Language (GRL) to enable analysis and reasoning during the process and capture its results; and leverages (3) the software tool support of GRL for decision making during language design. To illustrate vGREL, we apply it to a case study on responsibility-based access rights management. Furthermore, we present reflections on vGREL from the language engineer involved in the case study.

To remain competitive in dynamic environment, enterprises need to make effective and efficient decisions in response to changes. Good modeling tools and analysis support is a necessity in this regard. Such modeling and analysis tools should to be able to visually model and programmatically analyze several descriptive and prescriptive modeling languages in concert. We recount our experience with visual modeling editor and ontological representation for both descriptive and prescriptive models for enterprise decision making. Starting with purposive modeling tools, we shifted to integrated modeling environment where all relevant models of enterprise coexist and are analyzed together. Our ongoing research suggests that apart from integrated modeling environment, scalable modeling facilities for better interaction between modelers and domain experts are also necessary to make modeling and analysis of enterprise models more streamlined.

Enterprises are inherently complex systems, which involve a multitude of components working dynamically and in coordination to obtain a desired end goal. The intricacy of an enterprise and how the different components can be modeled is the area of research of Enterprise Modeling (EM). When holistically modeling an enterprise, it is required to use more than one modeling language, including general and domain specific modeling languages (DSML), to boost the comprehension of different enterprise areas. However, the use of multiple languages can lead to a lack of detail and understanding of the relationships between enterprise components that are modeled in different domains. Analyzing the relationships between various enterprise domains can generate valuable insight into understanding the uncertainty, complexity, and operations of an enterprise. In this paper, we present an approach to enable EM from multiple perspectives allowing enterprises to use different languages to describe various domains. This approach supports the creation of relationships and dependencies between domains, to analyze from different depths and viewpoints desired enterprise perspectives. Considering the needed requirements for multi-perspective modeling, we developed a workbench that allows the composition and merger of different EM languages and creates ad-hoc EM tools based on the necessities of the enterprise.KeywordsEnterprise ModelingLanguage workbenchDomain specific modeling languages

Management of regional assets is not an easy job, it is evident from the stillmany reasonable exceptions to the value of government and local government assets in the BPK-RIopinion on the Government's financial statements. Local Governments have difficulty in managingassets so that they present less or unnatural regional assets.Without a vision, IT infrastructure will not be able to support business processes, and vice versabusiness will not be optimal without IT support. This also happened at BPKAD East Kotawaringinwhere the assets Management Information System that had been created in 2014 could not yet beimplemented. This happens because there are still disagreements among stakeholders.ArchiMate is a standard of the Open Group, is an open and independent modeling language forEnterprise Architecture supported by various vendors and consulting firms. The ArchiMatespecification provides instruments to enable Corporate Architects to describe, analyze, and visualizerelationships between business domains.Architecure Enterprise Modeling that has been made already illustrates the GovernanceArrangements needed in terms of the management of regional property. Therefore the applicationof IT will have to refer to this modeling. This is also to avoid the risk of failing to implement IT asbefore

In order to resolve the problems of model-driven software development, a model-driven approach for the development of Web application system is proposed in this paper. The development process starts from describing of platform independent models. Then, mapping relations from the source model to the target model are built according to the syntactic structure and semantic features of both metamodels, and model transformation as well as code generation can be achieved subsequently. ASP.NET is used as a target platform in the experiment which shows that this approach follows the essence, process and requirements of model-driven software development, and thus can make an effect support for model driven software engineering.

Most organizations in all sectors of industry, commerce, and government are fundamentally dependent on their information systems (IS) and would quickly cease to function should the technology (preferably information technology–IT) that underpins their activities ever come to halt. The development and governance of proper IT infrastructure may have enormous implications for the operation, structure, and strategy of organizations. IT and IS may contribute towards efficiency, productivity, and competitiveness improvements of both interorganizational and intraorganizational systems. On the other hand, successful organizations manage IT function in much the same way that they manage their other strategic functions and processes. This, in particular, means that they understand and manage risks associated with growing IT opportunities, as well as critical dependence of many business processes on IT and vice-versa. IT risk management issues are not only marginal or ‘technical’ problems but become more and more a ‘business problem.’ Therefore, in this chapter, a corporate IT risk management model is proposed and contemporary frameworks of IT governance and IT audit explained. Also, it is depicted how to model information systems and supporting IT procedures to meet ‘always-on’ requirements that comes from the business. In fact, a number of IT metrics proposed in the chapter support the alignment of IT Governance activities with business requirements towards IT.

Service-oriented Architecture (SOA) is becoming the prevalent architectural style for the creation of agile and flexible enterprise IT infrastructures. Services, as the key elements of Service-oriented Computing (SOC), can be composed in very efficient way to support flexible business processes and to adapt application systems quickly to new business requirements. Virtualization technologies offer cost-effective and rapid resource scalability as well as greater flexibility in providing hardware resources to service demands. However, also service-oriented applications need to be tested, monitored and maintained; thus the management aspect of Service-oriented infrastructures is often neglected. We propose a Service Management System that enhances the management of infrastructures for SOC and describes a first step towards the self-management of services in infrastructures with virtualized hardware resources. This paper provides a core set of components and required management functions that must be considered in providing a Service Management System for SOC.

Enterprise IT infrastructures experience a transformation because of rapid cloud computing adoption, especially Amazon Web Services (AWS), which delivers scalability, flexibility, and cost efficiency. AWS users encounter difficulties optimizing their performance because they face problematic situations combining workload variability with complex resource distribution systems and delay issues. The implementation of Artificial Intelligence constructs an evaluation process to boost performance optimization in Amazon Web Services (AWS) cloud systems. AI-powered insights implemented through machine learning algorithms with predictive analytics capabilities and automation functionality improve workload distribution and enhance auto-scaling efficiency while reducing operational expenses. Processor analysis of historical data combined with real-time metrics allows AI algorithms to make proactive decisions about resource administration, detect anomalies, and perform innovative management. The research evaluates performance-altering AI-based approaches that enhance AWS services, including EC2, Lambda, and Sage Maker. Implementing AI-based optimizations generates copious improvements in computational efficiency and cost performance based on experimental data. Thanks to AI, cloud performance management strategies will fundamentally transform since they endorse efficient AWS environments that align with business requirements.

Signal and imaging investigations are currently a basic step of the diagnostic, prognostic and follow-up processes of heart diseases. Besides, the need of a more efficient, cost-effective and personalized care has lead nowadays to a renaissance of clinical decision support systems (CDSS). The purpose of this paper is to present an effective way to achieve a high-level integration of signal and image processing methods in the general process of care, by means of a clinical decision support system, and to discuss the advantages of such an approach. Among several heart diseases, we treat heart failure, that for its complexity highlights best the benefits of this integration. Architectural details of the related components of the CDSS are provided with special attention to their seamless integration in the general IT infrastructure. In particular, significant and suitably designed image and signal processing algorithms are introduced to objectively and reliably evaluate important features that, in collaboration with the CDSS, can facilitate decisional problems in the heart failure domain. Furthermore, additional signal and image processing tools enrich the model baseof the CDSS.

In this paper, we propose an alternative method for facilitation of B2B process integration: front-side integration, which allows us to exploit existing web-based application infrastructure for business process integration across company borders. In this approach, so-called wrapper programs perform intelligent HTML to XML conversion in order to utilise the HTML output of web-based applications. Moreover, interaction with web-based user interfaces is automated to perform the appropriate actions on remote applications. Lixto technology converts web applications of collaborative (and even non-collaborative) business partners into programmatically accessible information sources, similar to web services, however without requiring any changes on the partner's IT infrastructure. We will give a concrete example of how to set up such a business process integration application in the automotive industry domain.

Purpose: Open Radiological Archiving and Communication System(ORACS) relational research database, which stores images, projections, plans, trials and doses etc, is the backbone for Image Guided Adaptive Radiation Therapy (IGART) Research Project at VCU. Philips Pinnacle3 is being used by this project for IGART adaptive planning of Virtual Clinical Trials (VCT). Therefore, in order to establish a user‐friendly interactive environment and facilitate collaboration between different sub‐projects, seamless integration of these two systems will be a must. Methods: It is well‐known that Pinnacle3 lacks the capacity to interact with a database server. However, we take advantage of Pinnacleˈs configurability and scripting power to enhance Pinnacle with new GUI controls, which invoke a middleware layer to access ORACS database. Users can import images from ORACS database through remote web services or locally, and save contours and plans and doses and other derived Pinnacle data back to ORACS database by simply clicking these new GUI controls. Moreover, a Pinnacle database can be re‐created easily and entirely from ORACS database through these new GUI controls and the middleware layer. The same technique can be used to create connection between Pinnacle3 and other database servers. Also because ORACS database uses web services for data access, if a specific middleware is created, any Treatment Planning System can access ORACS database interactively. Results: We presented a software infrastructure for seamless integration of ORACS research database and Philips Pinnacle3, which created an integrated virtual clinical trial environment for IGART researchers at our institution. Conclusions: Contemporary IGART research imposes new demands on the IT infrastructure of Radiation Oncology departments. We created a data management system which takes first steps towards managing new and complex tasks of automated analysis of large data sets.NIH Grant P01 CA11602

Nowadays, one of the important subjects of research in the enterprise modelling domain is the development of a unified language, often called UEML (Unified Enterprise Modelling Language). This paper is focused on one of the more illustrating points about UEML: the comparison of the constructs of the enterprise modelleling language. In previous work we have put in evidence few situations which can occur when we want to compare some modelling con-structs belonging to different languages. We investigate more in detail this problem of comparison in using a formal approach based on the set theory.