David Jeacocke

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This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework that brings together disparate data mining techniques is adopted. Several generally applicable techniques for extracting features from spatial and temporal data are also(More)
In an increasingly informed society there has been a growing interest by consumers in evaluating the quality-of-care provided by their practitioners. This task is complicated by an asymmetry in the technical knowledge required to assess health-care quality between consumers and health providers. Recently attempts have been made to incorporate patient views(More)
This paper presents an application of association rule mining in compliance in the context of health service management. There are approximately 500 million transactions processed by Medicare Australia each year. Among these transactions, there exist a small proportion of suspicious claims. This study applied association rule mining to examine billing(More)
The context of general practice makes the translation of evidence into clinical practice difficult. General practitioners interested in implementing evidence met at The Royal Australian College of General Practitioners' 2006 Annual Scientific Convention. We discussed evidence based medicine (EBM) journal club as a solution to this problem, including keys to(More)
In 2000, the Newcastle Institute of Public Health (NIPH) undertook a project that aimed to review, identify and where necessary, develop a range of indicators of quality service provision in general practice. We describe the way in which quantitative and qualitative research methods (including a Delphi style survey) were combined to investigate consensus(More)
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