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Defining data quality and realising the need for information that is free of defects and that possesses the right qualities for the task at hand remains a difficult issue. This is particularly so in the healthcare sector where the need for effective decision making is high. This case study addresses the development of a data quality evaluation framework for(More)
This research extends and tests principles to establish good practice and overcome practical barriers in the strategic management of data quality. The research explores the issues that define and control data quality in national health data collections and the mechanisms and frameworks that can be developed to achieve and sustain good data quality. The aim(More)
INTRODUCTION The increasingly information intensive nature of health care demands a proactive and strategic approach to data quality to ensure the right information is available to the right person at the right time in the right format. The approach must also encompass the rights of the patient to have their health data protected and used in an ethical way.(More)
AbstrAct Data quality requirements are increasing as a wider range of data becomes available and the technology to mine data shows the value of data that is " fit for use. " This chapter describes a data quality programme for the New Zealand Ministry of Health that first isolates the criteria that define " fitness " and then develops a framework as the(More)
This research in progress aims to develop a data quality strategy for the Ministry of Health. Data quality requirements are increasing as a wider range of data becomes available and the technology to mine the data shows the value of data that is 'fit for use'. A data quality framework is the initial step towards an organisation wide data quality strategy(More)
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