9,355 research outputs found

    Meeting the design challenges of nano-CMOS electronics: an introduction to an upcoming EPSRC pilot project

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    The years of ‘happy scaling’ are over and the fundamental challenges that the semiconductor industry faces, at both technology and device level, will impinge deeply upon the design of future integrated circuits and systems. This paper provides an introduction to these challenges and gives an overview of the Grid infrastructure that will be developed as part of a recently funded EPSRC pilot project to address them, and we hope, which will revolutionise the electronics design industry

    Process Mining Concepts for Discovering User Behavioral Patterns in Instrumented Software

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    Process Mining is a technique for discovering “in-use” processes from traces emitted to event logs. Researchers have recently explored applying this technique to documenting processes discovered in software applications. However, the requirements for emitting events to support Process Mining against software applications have not been well documented. Furthermore, the linking of end-user intentional behavior to software quality as demonstrated in the discovered processes has not been well articulated. After evaluating the literature, this thesis suggested focusing on user goals and actual, in-use processes as an input to an Agile software development life cycle in order to improve software quality. It also provided suggestions for instrumenting software applications to support Process Mining techniques

    Online help-seeking in communities of practice

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    Interactive online help systems are considered to be a fruitful supplement to traditional IT helpdesks, which are often overloaded. They often comprise user-generated FAQ collections playing the role of technology-based conceptual artifacts. Two main questions arise: how the conceptual artifacts should be used, and which factors influence their acceptance in a community of practice (CoP). Firstly, this paper offers a theoretical frame and a usage scenario for technology-based conceptual artifacts against the theoretical background of the academic help-seeking and CoP approach. Each of the two approaches is extensively covered by psychological and educational research literature, however their combination is not yet sufficiently investigated. Secondly, the paper proposes a research model explaining the acceptance of conceptual artifacts. The model includes users’ expectations towards the artifact, perceived social influence and users’ roles in the CoP as predictors of artifact use intention and actual usage. A correlational study conducted in an academic software users’ CoP and involving structural equations modeling validates the model, suggesting thus a research line that is worth further pursuing. For educational practice, the study suggests three ways of supporting knowledge sharing in CoPs, i.e. use of technology-based conceptual artifacts, roles and division of labor, and purposeful communication in CoPs

    Ontologies across disciplines

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    Knowing A Few Rules Doesn’t Mean You Can Play the Game : The Limits of “Best Practice” in Enterprise Systems.

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    We examine the common claim that "best practices" are encompassed and represented in Enterprise Systems (ES). We suggest that an ES can at best only represent the ostensive and not the performative elements of work tasks. Thus, representation of best practice in an ES does not take practical action into account. This has two important implications. First, ostensive abstractions of best practice in an ES are a sparse and superficial representation of a "good" business process, at a specific moment in time. Second, the practical understanding required for performance is often ignored in the ostensive representation of best practice in the implementation of an ES. This constrains user and business adaptability. Inflexible coding of ostensive business tasks furthermore leads to rigidity where flexibility should be sought, to keep on top of the competition. Implications and directions for further research are discussed

    Determinant Factors in Applying Picture Archiving and Communication Systems (PACS) in Healthcare

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    Abstract Objectives: Meaningful use of picture archiving and communication systems (PACS) can change the workflow for accessing digital images, lead to faster turnaround time, reduce tests and examinations, and increase patient throughput. This study was carried out to identify determinant factors that affect the adoption of PACS by physicians. Methods: This was a cross-sectional study in which 190 physicians working in a teaching hospital affiliated with Tehran University of Medical Sciences were randomly selected. Physicians’ perceptions concerning the adoption of PACS were assessed by the conceptual path model of the Unified Theory of Acceptance and Use of Technology (UTAUT). Collected data were analyzed with regression analysis. Structural equation modeling was applied to test the final model that was developed. Results: The results show that the UTAUT model can explain about 61 percent of the variance on in the adoption of PACS (R2 = 0.61). The findings also showed that performance expectancy, effort expectancy, social influences, and behavior intention have a direct and significant effect on the adoption of PACS. However, facility condition showed to have no significant effect on physicians’ behavior intentions. Conclusions: Implementation of new technology such as PACS in the healthcare sector is unavoidable. Our study clearly identified significant and nonsignificant factors that may affect the adoption of PACS. Also, this study acknowledged that physicians’ perception is a key factor to manage the implementation of PACS optimally, and this fact should be considered by healthcare managers and policy makers. Keywords: picture archiving and communication systems (PACS), Unified Theory of Acceptance and Use of Technology (UTAUT), physician, structural equation modelin

    Registered Nurses\u27 Intention To Use Electronic Documentation Systems: A Mixed Methods Study

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    BACKGROUND: Home care in Ontario has become the fastest growing sector and cornerstone of the healthcare system. As a result of the increased shift to the home care sector in Ontario, there have been several health information technology (HIT) initiatives to improve the quality and delivery of health care services to patients. This is exemplified with the province-wide development and implementation of electronic documentation systems (EDS). Electronic documentation systems have the potential to ensure timely, up-to-date and comprehensive patient health and care-related information is available and accessible to healthcare providers such as registered nurses regardless of their physical location. Access to patient health and care-related information supports high-quality nursing care, decision-making, and care delivery processes. Despite the benefits of EDS (i.e., improved workflow, reduced diagnostic and laboratory tests and adverse drug events), low intention by registered nurses to use these systems is well documented. Existing evidence suggests that an expressed intention to use HIT such as EDS is a direct predictor and antecedent of behavioural usage. Despite the growing efforts to understand registered nurses’ perceptions and overall intention to use EDS in practice, there is limited knowledge about registered nurses’ intention to use EDS in the context of home care practice. AIMS: The purpose of this study was to understand and examine factors that influence nurses’ intention and overall perception of using EDS in their home care practice. The conceptual model framing this study was adapted from the Unified Theory of Acceptance and Use of Technology (UTAUT) to delineate the relationships among factors that influence registered nurses’ intention to use EDS in home care practice. METHOD: A sequential, explanatory mixed methods design, using a sample of nurses from Ontario who are currently practicing within the home care sector were recruited to address the study’s objectives. Data were collected using both quantitative (online survey) and qualitative (semi-structured individual telephone interviews) methods. Quantitative data were analyzed with descriptive statistics and hierarchical multiple regression analysis and qualitative data were analyzed with content and inductive thematic analysis. RESULTS: Individual, technological and organizational / environmental characteristics were found to influence nurses’ intention, level of comfort and experience with EDS usage in home care practice. Additional factors found to influence home care nurses’ experience with EDS usage included: the development and employment of workarounds, the influence of nurse-patient interaction amidst system usage, and the ability to provide input towards the system design. CONCLUSION: Nurses play a significant role in the delivery of home health care services to Ontarians. The findings highlight the importance for: a) further exploration of the most appropriate model and / or adaptation of a model identifying a range of factors influencing nurses’ intention to use EDS in different healthcare contexts; b) continued integration of nursing informatics competencies within nursing curricula; c) an organizational culture that supports the use of EDS in nurses’ home practice (i.e., enlisting user champions and providing adequate training and IT support); and d) having representation of nurses in the EDS design and / or implementation processes through a user-centered design approach
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