Chris Kelman

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OBJECTIVE This article outlines a protocol for facilitating access to administrative data for the purpose of health services research, when these data are sourced from multiple organisations. This approach is designed to promote confidence in the community and among data custodians that there are benefits of linked health information being used and that(More)
In various real-world applications, it is very useful mining unanticipated episodes where certain event patterns unexpectedly lead to outcomes, e.g., taking two medicines together sometimes causing an adverse reaction. These unanticipated episodes are usually unexpected and infrequent, which makes existing data mining techniques, mainly designed to find(More)
The work is motivated by real-world applications of detecting Adverse Drug Reactions (ADRs) from administrative health databases. ADRs are a leading cause of hospitalization and death worldwide. Almost all current postmarket ADR signaling techniques are based on spontaneous ADR case reports, which suffer from serious underreporting and latency. However,(More)
OBJECTIVE To investigate the time relations between long haul air travel and venous thromboembolism. DESIGN Record linkage study using the case crossover approach. SETTING Western Australia. PARTICIPANTS 5408 patients admitted to hospital with venous thromboembolism and matched with data for arrivals of international flights during 1981-99. RESULTS(More)
Adverse reactions to drugs are a leading cause of hospitalisation and death worldwide. Most post-marketing Adverse Drug Reaction (ADR) detection techniques analyse spontaneous ADR reports which underestimate ADRs significantly. This paper aims to signal ADRs from administrative health databases in which data are collected routinely and are readily(More)
  • Chris Kelman
  • Australian and New Zealand journal of public…
  • 2000
OBJECTIVE The Australian National Death Index (NDI) provides a comprehensive and accessible source of mortality information for epidemiological research. Use of the index requires a probabilistic matching process that inevitably results in some inaccuracy. In this paper, accuracy is assessed. METHODS Results of a matching process against the NDI performed(More)
BACKGROUND In Australia there is a socioeconomic gradient in morbidity and mortality favouring socioeconomically advantaged people, much of which is accounted for by ischaemic heart disease. This study examines if Australia's universal health care system, with its mixed public/private funding and delivery model, may actually perpetuate this inequity. We do(More)
In this paper, we discuss a problem of finding risk patterns in medical data. We define risk patterns by a statistical metric, relative risk, which has been widely used in epidemiological research. We characterise the problem of mining risk patterns as an optimal rule discovery problem. We study an anti-monotone property for mining optimal risk pattern sets(More)
OBJECTIVE To examine reasons for the minimal use of Australian administrative health data for research and evaluation. METHOD Legislative, organisational, social and political barriers in Australia are described. RESULTS System changes are identified that would support the implementation of an evaluation-oriented health data collection system. A(More)
OBJECTIVES To estimate Australian health-care costs in the year of first occurrence and subsequent years for major diabetes-related complications using administrative health-care data. METHODS The costs were estimated using administrative information on hospital services and primary health-care services financed through Australia's national health(More)