Assessing data quality issues in the Emergency Department through data and process mapping

Data and information quality is a well-established research topic and gradually appears on the decision-makers\u27 top concern lists. Many studies have been conducted on how to investigate the generic data/information quality issues and factors by providing a high-level abstract framework or model. Based on these previous studies, this study tries to discuss the actual data quality issues with the operation-level and middle-level managers emerged during the emergency department data collection and reporting processes. By conduct data quality issues and business processes mapping, possible data quality issues are summarised under the well-known TOP model and the recommendations of data quality improvement are suggested.

Mobile Application Development for Senior Citizens

Aged care is a significant issue which concerns all governments. In order to provide assistance and provide quality of life to senior citizens, enormous resources are invested by the government each year. A significant proportion of the investment is used to provide a range of services for senior citizens who stay at home. Since providing quality aged care is an ongoing and complex process, there is a desperate need to develop innovative solutions, which will benefit society at large. Although modern information technology products are changing the lifestyle of younger generations, they have much less impact on old people. This research therefore undertakes a novel study into the question of: What mobile applications can be developed on smartphone devices to improve senior citizens’ quality of lives. By using a requirement framework developed from the literature, this study also explored the availability and suitability of current mobile applications which are available from IPhone Application shops, Nokia OVI stores and other sources in order to identify possible directions for future mobile application development for aged care purposes

PROMISES OF OPEN SOURCE SOFTWARE FOR AUSTRALIAN GOVERNMENT AGENCIES – AN EXPLORATORY STUDY

In wake of financial downturn open source software appears attractive to many public sector organisations. Built on a licensing model that avoids binding contracts or financial obligation, it permits like-minded developers to share source code and collaborate in the continuous improvement and enhancement of software. Open source software reduces dependencies on software vendors, is continuously evolving, and does not pose any possibility of running the user into the blind alley or dead-end of development trajectory. This paper presents the findings of a study conducted in three Australian state governments. Purpose of this study was to assess the organisational readiness and potential of open source implementation in government agencies. It identifies the level of open source utilisation in these agencies and also highlights the barriers involved in utilisation of open source at a larger scale. The study concludes that success of OSS in government agencies is contingent upon critical aspects such as, its implementation enabling technical and economic value; its maintainability and adequate support available to sustain its utilisation

Mobile Information Systems In Australian Utility Companies

This research has investigated a broad range of issues associated with the use of mobile information systems in Australian utility companies. In particular, special consideration has been given to the existing infrastructure, business processes and information systems used in the participating organisations to support its field workers. This research has used a Technology, Organisation & People (TOP) multi-perspective model to conduct five case studies obtaining various technical, organisational and personal issues associated with the adoption of mobile information systems. These findings will help other large organisations to better manage their geographically distributed assets and workforce

Critical success factors for business intelligence systems

The implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources. Yet there is a limited authoritative set of critical success factors (CSFs) for management reference because the BI market has been driven mainly by the IT industry and vendors. This research seeks to bridge the gap that exists between academia and practitioners by investigating the CSFs influencing BI systems success. The study followed a two-stage qualitative approach. Firstly, the authors utilised the Delphi method to conduct three rounds of studies. The study develops a CSFs framework crucial for BI systems implementation. Next, the framework and the associated CSFs are delineated through a series of case studies. The empirical findings substantiate the construct and applicability of the framework. More significantly, the research further reveals that those organisations which address the CSFs from a business orientation approach will be more likely to achieve better results.<br /

Validating a Data Quality Framework in Engineering Asset Management

Data Quality (DQ) has been an acknowledged issue for a long time. Several researchers have indicated that maintaining the quality of data is often acknowledged as problematic, but is also seen as critical to effective decision-making in engineering asset management (AM). The study presents an AM specific DQ framework, which aims to provide a comprehensive structure for understanding, identifying AM DQ problems in an organised way. The framework was examined in a preliminary case study of two large Australian engineering organisations. The empirical findings from the research were used to validate the proposed AM DQ framework. As AM data and informational needs are very different to a typical business environment, a gap exists in the availability of DQ solutions for engineering asset management. Thus there is a need for the development of DQ solutions for engineering asset management

Enterprise Metadata Management: Identifying Success Factors For Implementing Managed Metadata Environments

Managed metadata environments (MME) are being employed in organisations that need to assure a consistent and efficient capture, integration and delivery of enterprise metadata. Initiatives to implement a MME in an organisation may be a daunting endeavour and various information systems have evolved over time to support such environments. The expert study at hand used a multi-round Delphi research method in order to identify critical success factors of these initiatives. Out of the ten critical success factors nominated through the early rounds, nine factors were found to be very-toextremely important and one factor moderately important. The identified success factors can be used as a basis for implementation frameworks in metadata management initiatives. An effective and efficient metadata management system is one of the key components of data and information management, and can greatly aid organisations‟ efforts toward improved information quality and governanc

Towards A Process View on Critical Success Factors in Big Data Analytics Projects

The research tries to identify factors that are critical for a Big Data project’s success. In total 27 success factors could be identified throughout the analysis of these published case studies. Subsequently, to the identification the success factors were categorized according to their importance for the project’s success. During the categorization process 6 out of the 27 success factors were declared mission critical._x000D_ Besides this identification of success factors, this thesis provides a process model, as a suggested way to approach Big Data projects. The process model is divided into separate phases. In addition to a description of the tasks to fulfil, the identified success factors are assigned to the individual phases of the analysis process. _x000D_ Finally, this thesis provides a process model for Big Data projects and also assigns success factors to individual process stages, which are categorized according to their importance for the success of the entire project

Assessing data quality issues in the Emergency Department through data and process mapping

Data and information quality is a well-established research topic and gradually appears on the decision-makers\u27 top concern lists. Many studies have been conducted on how to investigate the generic data/information quality issues and factors by providing a high-level abstract framework or model. Based on these previous studies, this study tries to discuss the actual data quality issues with the operation-level and middle-level managers emerged during the emergency department data collection and reporting processes. By conduct data quality issues and business processes mapping, possible data quality issues are summarised under the well-known TOP model and the recommendations of data quality improvement are suggested.)<br /