Pragmatic oriented data interoperability for smart healthcare information systems

Smart healthcare is a complex domain for systems integration due to human and technical factors and heterogeneous data sources involved. As a part of smart city, it is such a complex area where clinical functions require smartness of multi-systems collaborations for effective communications among departments, and radiology is one of the areas highly relies on intelligent information integration and communication. Therefore, it faces many challenges regarding integration and its interoperability such as information collision, heterogeneous data sources, policy obstacles, and procedure mismanagement. The purpose of this study is to conduct an analysis of data, semantic, and pragmatic interoperability of systems integration in radiology department, and to develop a pragmatic interoperability framework for guiding the integration. We select an on-going project at a local hospital for undertaking our case study. The project is to achieve data sharing and interoperability among Radiology Information Systems (RIS), Electronic Patient Record (EPR), and Picture Archiving and Communication Systems (PACS). Qualitative data collection and analysis methods are used. The data sources consisted of documentation including publications and internal working papers, one year of non-participant observations and 37 interviews with radiologists, clinicians, directors of IT services, referring clinicians, radiographers, receptionists and secretary. We identified four primary phases of data analysis process for the case study: requirements and barriers identification, integration approach, interoperability measurements, and knowledge foundations. Each phase is discussed and supported by qualitative data. Through the analysis we also develop a pragmatic interoperability framework that summaries the empirical findings and proposes recommendations for guiding the integration in the radiology context

Lean, agile, resilient and green supply chain management interoperability assessment methodology

Dissertação para obtenção de grau de Mestre em Engenharia e Gestão Industrial (MEGI)Supply Chain Management has become a tactic asset for the current global competition situation. Innovative strategies such as Lean, Agile, Resilient and Green emerged as a response, requiring high levels of cooperation and of great complexity. However, the strategic alignment of operations with partners in supply chains is affected by lack of interoperability. The present work provides a framework to enhance SC competitiveness and performance by assessing interoperable SCM Practices applied in automotive industry. Through a pragmatic interoperability approach, this methodology describes in detail the form of application using analytical hierarchical process (AHP) and Fuzzy sets as support decision making models, ensuring a systematic approach to the analysis of interoperability with appropriate criteria for assessment of situations that require high levels of collaboration between partners. Through a case study in a Portuguese automaker, it was possible to test the methodology and analyse which areas lack interoperability in the implementation of SCM practices

e-Business challenges and directions: important themes from the first ICE-B workshop

A three-day asynchronous, interactive workshop was held at ICE-B’10 in Piraeus, Greece in July of 2010. This event captured conference themes for e-Business challenges and directions across four subject areas: a) e-Business applications and models, b) enterprise engineering, c) mobility, d) business collaboration and e-Services, and e) technology platforms. Quality Function Deployment (QFD) methods were used to gather, organize and evaluate themes and their ratings. This paper summarizes the most important themes rated by participants: a) Since technology is becoming more economic and social in nature, more agile and context-based application develop methods are needed. b) Enterprise engineering approaches are needed to support the design of systems that can evolve with changing stakeholder needs. c) The digital native groundswell requires changes to business models, operations, and systems to support Prosumers. d) Intelligence and interoperability are needed to address Prosumer activity and their highly customized product purchases. e) Technology platforms must rapidly and correctly adapt, provide widespread offerings and scale appropriately, in the context of changing situational contexts

Product data quality and collaborative engineering

[EN] We survey the impact of product data quality within an extended enterprise framework and present a linguistic model, which focuses on three levels: morphological, syntactic, and semantic.The Spanish Government national R&D Feder program partially sponsored this work as project number 1FD97 0784 “Implementing Design and Manufacturing Advanced Technologies in a Concurrent Engineering Environment. Application to an Automotive Components Manufacturing Company.” We also thank Radiadores Ordoñez, who helped us check the effectiveness of our approachContero, M.; Company Calleja, P.; Vila, C.; Aleixos Borrás, MN. (2002). Product data quality and collaborative engineering. IEEE Computer Graphics and Applications. 22(3):32-42. doi:10.1109/MCG.2002.999786S324222

Assessing the implementation of BIM – an information systems approach

Much attention has been paid to measuring the perceived benefits of Building Information Modelling (BIM). Yet despite an increase its adoption throughout the construction industry, important links between implementation, support and benefits are yet to be explored. We examine the constitutive elements of the BIM implementation process of two case studies implementing and using BIM: The first is a large urban regeneration project and the second is a healthcare project. A well-recognised model of system success is mobilised from the field of information systems (IS) to reveal that irrespective of project size and type, BIM benefits are confined to technically discrete productivity and efficiency gains when there is limited focus on the organisational aspects of BIM adoption. This paper focuses on the disconnections between organisational and project level BIM implementation using the DeLone and McLean Model as an analytical framework to systematically examine the benefits of BIM to each project in relation to the implementation approach employed. This study highlights the significance of these interdependencies and argues for a more comprehensive approach to BIM benefits capture that recognises this to usefully inform implementation strategy development

Developing Business Architecture for SMEs: A Strategic Tool for Capability Orchestration and Managing Dynamisms

Small and Medium Enterprises (SMEs) are increasingly faced with competitive pressure due to swift and constant change to the dynamic and highly interconnected environment in which they operate. Competing in this dynamic ecosystem, SMEs need a strategic tool for managing co-evolution with the dynamic environment in order to create sustained value. Drawing from the specific SME characteristics operating in a collaborative network ecosystem of firms, this paper elicits the specific strategic management requirements that need to be satisfied by a Business Architecture. Extensive exploratory literature review and semi-structured interviews are used to explicate the underlying drivers of SME’s requirements for business architecture that need to be addressed by the requisite BA practice. The paper finds that, the BA practice must possess the capabilities to guide and assist the SMEs to adapt with the dynamic collaborative ecosystem of firms and sense, leverage and orchestrate the network of resources and ICT capabilities to create sustained value. This paper concludes with some guidelines for developing the business architecture-enabled journey toward creating sustained value within the said dynamic ecosystem