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Achieving data completeness in electronic medical records: A conceptual model and hypotheses development.This paper aims at proposing a conceptual model of achieving data completeness in electronic medical records (EMR). For this to happen, firstly, we draw on the model of factors influencing data quality management to construct our conceptual model. Secondly, we develop hypotheses of relationships between influencing factors for data completeness and mediators for achieving data completeness in EMR based on the literature. Our conceptual model extends the prior model for factors influencing data quality management by adding a new factor and exploring the relationships between the influencing factors within the context of data completeness in EMR. The proposed conceptual model and the presented hypotheses once empirically validated will be the basis for the development of tools and techniques for achieving data completeness in EMR.
Technology challenges in accounting and finance.Since human history began, new ways of working or inventions have emerged which have fundamentally changed the accepted methods of living and/or doing business. Whether this was the wheel or the printing press, the ‘technology of the day’ has disrupted accepted practice, and usually required learning new skills or approaches. In the modern era, much of this disruption has occurred through information technology, such as the internet. This chapter presents four technologies of varying degrees of maturity which are likely to change the accounting profession: Big Data, Cloud Computing, Artificial Intelligence and Blockchain. We explain what each technology is and how it might impact the business world and how accountants need to potentially change their skillsets to address the challenges these disruptive technologies bring.