Novel Data Interface for Evaluating Cardiovascular Outcomes in Women

2011 ◽  
pp. 2094-2113
Author(s):  
Amparo C. Villablanca ◽  
Hassan Baxi ◽  
Kent Anderson

This chapter discusses critical success factors in the design, implementation, and utility of a new construct and interface for data transfer with broad applicability to clinical data set management. In the context of a data coordinating center for evaluating cardiovascular outcomes in high-risk women, we detail and provide a framework for bridging the gap between extensible markup language (XML) and XML schema definition file (XSD) in order to provide greater accessibility using visual basic for applications (VBA) and Excel. Applications and lessons learned are discussed in light of current challenges to healthcare information technology management and clinical data administration. The authors hope that this approach, as well as the logic utilized and implementation examples, will provide a user-friendly model for data management and relational database design that is replicable, flexible, understandable, and has broad utility to research professionals in healthcare.

Author(s):  
Amparo C. Villablanca ◽  
Hassan Baxi ◽  
Kent Anderson

This chapter discusses critical success factors in the design, implementation, and utility of a new construct and interface for data transfer with broad applicability to clinical data set management. In the context of a data coordinating center for evaluating cardiovascular outcomes in high-risk women, we detail and provide a framework for bridging the gap between extensible markup language (XML) and XML schema definition file (XSD) in order to provide greater accessibility using visual basic for applications (VBA) and Excel. Applications and lessons learned are discussed in light of current challenges to healthcare information technology management and clinical data administration. The authors hope that this approach, as well as the logic utilized and implementation examples, will provide a user-friendly model for data management and relational database design that is replicable, flexible, understandable, and has broad utility to research professionals in healthcare.


2014 ◽  
Vol 14 (1) ◽  
pp. 108-134 ◽  
Author(s):  
Morteza Shokri-Ghasabeh ◽  
Nicholas Chileshe

Purpose – A research study has been undertaken at the University of South Australia to introduce application of lessons learned process in construction contractors ' bidding process in the context of knowledge management. The study aims to identify barriers to effectively capture lessons learned in Australian construction industry and how knowledge management can benefit from lessons learned application. Design/methodology/approach – The research study has been undertaken through conducting a “methodological triangulation” and “interdisciplinary triangulation”. This involved an extensive literature review of knowledge management, organisation learning, lessons learned and associated processes and administration of a questionnaire to a sample of construction contractors operating in Australia to elicit opinions on the main barriers to capturing lessons learned, practices such as existence and retention of documentation procedures. A total of 81 useable responses were received from 450 organisations. Response data were subjected to descriptive and inferential statistics with correlation analysis to examine the strength of relationship among the barriers. Findings – The top-3 barriers to the effective capturing of lessons learned were “lack of employee time”, “lack of resources” and “lack of clear guidelines”, whereas, “lack of management support” was the least ranked barrier. The study established that despite the majority of the ACCs having formal procedures for recording the tenders submitted and their outcomes, only a minority actually retained the lessons learned documentation for each project. The larger contractors were found to be more aware of the importance of lessons learned documentation. A comparative analysis with previous studies also found a disparity in the ranking of the barriers. Research limitations/implications – The majority of the participants were small construction contractors in Australia. The reason is that the researchers were not aware of the contractors ' size prior to inviting them for participation in the research study. Second the findings may not generalize to other industries or to organisations operating in other countries. Originality/value – The findings of this survey help ACCs to understand the importance of lessons learned documentation as part of lessons learned implementation and identify the barriers to effectively document their lessons learned. The study provides insights on the barriers and proposes advocated solutions in form of drivers and enablers (critical success factors) of organisational learning capturing among the Australian construction contractors. By reviewing the current literature, “post-project reviews” and “lessons learned” as important elements of organisation learning knowledge transfer, are addressed. Finally, contribution of this study to knowledge and practice has been discussed in this paper.


Author(s):  
Wolfgang Hohnel ◽  
Daniela Krahl ◽  
Dirk Schreiber

A reference model is always developed in order to support a specific purpose. The development environment is setting the broader context. Limitations are not only set by size and experience of the modeler team or by budget and time constraints. The intended usage scenario also defines the fundamental contour of a reference model. During the practical work with reference models, a range of key issues has come up to increase the suitability of reference models for daily use. As the result of many projects, the authors have summarized the key issues and formulated critical success factors for reference modeling projects.


Author(s):  
Kenneth R. Ohnemus

The sheer volume of information, 15 books and over 1,500 graphics, contained in CSC's corporate system development methodology, Catalyst,sm has created a need to have this information on-line. On-line access, it was felt, would dramatically impact productivity. To help support users and facilitate the use of Catalyst, the Microsoft (MS) help system, in conjunction with RoboHELPTM, was used to put Catalyst online in a hypertext format. Incorporating feedback and usability concerns was key in determining how its more than 20,000 users could best utilize this product. The design evolved over several months and in its final form also extended the limited functionality of the MS help system, providing a more robust product. This paper discusses the challenges surrounding the design of a large windows help system, approximately 53 MB in size (33 MB when fully compressed). The lessons learned can form the basis for creating an effective help system development process for meeting users' needs.


Author(s):  
Maria Leonilde R. Varela ◽  
Goran D. Putnik ◽  
Maria do Sameiro Carvalho ◽  
Luís Ferreira ◽  
Maria Manuela Cruz-Cunha ◽  
...  

Online shopping is nowadays is a highly frequent action but there are several critical factors that have to be considered for enabling websites and platforms to be able to offer all necessary requisites for guaranteeing user friendly, secure and also enjoyable shopping experiences to clients, offering them exactly what they expect to buy, and quickly find, among a huge offer available online. In this paper, a set of considered critical success factors are analysed on a set of top ranked websites, about luxurious furniture, to understand to what extent these critical factors are satisfied. The results can be taken into consideration for implementing a successful business through e-commerce from herein analysed perspectives.


2017 ◽  
Vol 9 (2) ◽  
pp. 1-19
Author(s):  
Maria Leonilde R. Varela ◽  
Goran D. Putnik ◽  
Maria do Sameiro Carvalho ◽  
Luís Ferreira ◽  
Maria Manuela Cruz-Cunha ◽  
...  

Online shopping is nowadays is a highly frequent action but there are several critical factors that have to be considered for enabling websites and platforms to be able to offer all necessary requisites for guaranteeing user friendly, secure and also enjoyable shopping experiences to clients, offering them exactly what they expect to buy, and quickly find, among a huge offer available online. In this paper, a set of considered critical success factors are analysed on a set of top ranked websites, about luxurious furniture, to understand to what extent these critical factors are satisfied. The results can be taken into consideration for implementing a successful business through e-commerce from herein analysed perspectives.


2021 ◽  
Vol 21 (4) ◽  
Author(s):  
Craig Langston ◽  
Charles Crowley

Since the COVID-19 pandemic began, there has been increased reliance on new infrastructure projects to counter economic fallout and underpin employment security. Urban and inter-urban transportation projects, such as major road, rail and port facilities, are popular choices for national and state governments in Australia as they provide broad fiscal support across all sectors of the economy. The problem with stimulus is making sure that the quality of the new infrastructure provides collective utility to a community or region. Whether the benefits will be worthwhile and represent best use of resource inputs requires financial, social, ethical and environmental consequences to be evaluated in a comparable format. The aim in this paper is to analyse the Gold Coast Light Rail (GCLR) Stage 1&2 project using a method that is capable of merging tangible and intangible criteria using an ordinal ranking algorithm. While the GCLR case study is undertaken with the benefit of hindsight, normally these types of evaluations are performed in real time as a project progresses from initiation (design) to implementation (deliver) and influence (delight). The method adopted in this study represents a modern form of multi-criteria decision-making, which enables successful projects to be distinguished from unsuccessful ones using a time period from commencement until one full year of operation has occurred. The i3d3 model, developed by a team from Bond University, has the unique benefit of ranking projects from best to worst across an organisational portfolio, geographic region or industry sector. It also supports past project performance to inform new design through application of a continuous improvement process of recording lessons learned. The GCLR case study calculated 100% of the critical success factors in the model to be positive and produced an overall success ranking of 23 (on a scale of -100 to +100). This paper presents the approach taken to evaluate GCLR’s level of success and the calculations that took place to reach this finding. This is the first time i3d3 has been used on an Australian project.


2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 132s-132s
Author(s):  
C. Politis ◽  
D. Keen

Background and context: Policies implemented at the local level can create healthier environments that enable individuals to engage in healthier, cancer preventive behaviors - such as healthy eating. Policies support cancer preventive behaviors in a sustainable and often cost-effective manner. Many theoretical frameworks exist to describe the policy process; however in practice, policy development is often considered a complex and unfamiliar mechanism to the cancer prevention and health promotion community. Aim: To identify and better understand the critical success factors underlying cancer prevention policy success, the Canadian Partnership Against Cancer analyzed the policy outcomes - focused on food environments and healthy eating - from their pan-Canadian funding initiative Coalitions Linking Action and Science for Prevention (CLASP). Strategy/Tactics: Four projects funded through the CLASP initiative, from 2009 to 2016, have yielded 260 policy outcomes related to improving food environments and healthy eating. The policy changes were the result of evidence-based interventions implemented at the local level (i.e., municipalities, schools/child care, and workplaces). Program/Policy process: Over 220 knowledge products and evaluation documents were reviewed to identify food environment and healthy eating policy outcomes and key lessons learned. The policy outcomes were analyzed and categorized according to: a) implementation setting (municipality, school/child care, workplace); and b) policy lever addressed. Policy lever categories were sourced from the World Cancer Research Fund's (WCRF) NOURISHING Framework. Ten key informant interviews were conducted with former project members to refine and validate the lessons learned. Lessons learned were organized into a final list of critical success factors and themed into overarching categories. Outcomes: The majority of the food environment and healthy eating policy outcomes from CLASP occurred in workplace settings (n=133) and municipalities (n=111), and the least in schools/child care settings (n=16). The most frequent NOURISHING policy lever was “Offer healthy food and set standards in public institutions and other specific settings” primarily through policies to ban the sale of energy drinks (n=83) and implementing nutrition standards (n=58). Ten critical success factors were identified and described within three categories: people (n=3); tools (n=3); and approaches and ways of working (n=4). What was learned: A key takeaway from this work was a combination of cross-sectoral partnerships, tools and evidence, and collaborative ways of working were crucial to advance food environment and healthy eating policy change in municipalities, schools and child care settings, and workplaces. By utilizing the international WCRF NOURISHING Framework, it is intended that the lessons learned from this policy work in a Canadian context can inform local-level cancer prevention policy efforts around the world.


2021 ◽  
Vol 13 (16) ◽  
pp. 8801
Author(s):  
Naim Ahmad ◽  
Ayman Qahmash

Interpretive Structural Modeling (ISM) is a technique to establish the interrelationships between elements of interest in a specific domain through experts’ knowledge of the context of the elements. This technique has been applied in numerous domains and the list continues to grow due to its simplistic concept, while sustainability has taken the lead. The partially automated or manual application of this technique has been prone to errors as witnessed in the literature due to a series of mathematical steps of higher-order computing complexity. Therefore, this work proposes to develop an end-to-end graphical software, SmartISM, to implement ISM technique and MICMAC (Matrice d’Impacts Croisés Multiplication Appliquée á un Classement (cross-impact matrix multiplication applied to classification)), generally applied along with ISM to classify variables. Further, a scoping review has been conducted to study the applications of ISM in the previous studies using Denyer and Tranfield’s (2009) framework and newly developed SmartISM. For the development of SmartISM, Microsoft Excel software has been used, and relevant algorithms and VBA (Visual Basic for Applications) functions have been illustrated. For the transitivity calculation the Warshall algorithm has been used and a new algorithm reduced conical matrix has been introduced to remove edges while retaining the reachability of variables and structure of digraph in the final model. The scoping review results demonstrate 21 different domains such as sustainability, supply chain and logistics, information technology, energy, human resource, marketing, and operations among others; numerous types of constructs such as enablers, barriers, critical success factors, strategies, practices, among others, and their numbers varied from 5 to 32; number of decision makers ranged between 2 to 120 with a median value of 11, and belong to academia, industry, and/or government; and usage of multiple techniques of discourse and survey for decision making and data collection. Furthermore, the SmartISM reproduced results show that only 29 out of 77 studies selected have a correct application of ISM after discounting the generalized transitivity incorporation. The outcome of this work will help in more informed applications of this technique in newer domains and utilization of SmartISM to efficiently model the interrelationships among variables.


Author(s):  
Aderonke A. Oni ◽  
Adekunle O. Okunoye

Most e-democracy implementation has experienced mixed success; some have failed to meet up with the demand of the dedicated advocates while some are battling with a lot of replication of efforts within countries driving full-fledged e-participation across their governmental bodies. Ensuring success in e-democracy implementation requires harmonizing the technological, economic, political, legal, and cultural issues pertaining to e-democracy. Barriers to greater online citizen engagement in policy making are not technological but cultural, organizational, and constitutional. This chapter will provide an in-depth description of key issues to consider in making participatory e-democracy user friendly, effective, and deliver the expected outcomes. Important issues pertinent to the success of e-democracy project were explored. These are technological, social, and political issues that make for good success in e-democracy implementation. These are beyond the traditional concerns of the digital divide.


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