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Tag: DHCRC

Health, Passion, Career: A chat with Director of Health Services Management Centre about her journey

Health PhD candidate Jo Khoo was a guest host alongside Dr Amalie Dyda on the soundcloud podcast “Stories in Public Health”  interviewing with the Director of Health Services Management Centre Professor Judith Smith, University of Birmingham. In the podcast, Professor Judith Smith shares her professional journey into health services research and management. Her own research

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HEALTH PHD STUDENT ARIF KHAN HAS BEEN PUBLISHED IN THE INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

PhD Health Market Quality candidate Arif Khan has been published in the International Journal of Medical Informatics alongside one of the co-authors, CMCRC HMQ senior research scientist and PhD mentor Dr Uma Srinivasan. Their research has uncovered how using and analysing 1.4 million electronic medical records from almost 1 million de-identified patients can help determine when

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AUSTRALIAN GOVERNMENT ANNOUNCES SUPPORT FOR NEW DIGITAL HEALTH CRC

The Hon. Zed Seselja, Assistant Minister for Science, Jobs and Innovation, announced today that the Government will invest $55 million through its Cooperative Research Centre (CRC) program to further develop Australia’s growing Digital Health technology and services industry. The Digital Health CRC was one of only four CRC’s funded in this round. The Digital Health CRC

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Health PhD candidate Mohammad Pulok has presented at the University of Toronto

Health PhD candidate Mohammad Pulok has recently presented a summary of his PhD papers at the University of Toronto for the March Canadian Centre for Health Economics Seminar. Mohammad’s PhD uses horizontal inequity to conduct the fairness of Medicare healthcare services in the era of greater private healthcare financing in Australia. The presentation outlined the

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PhD Candidate published in Health Journal

Congratulations to our health PhD James John, who published his paper in the International Journal of Environmental Research and Public Health. John’s paper provides an understanding of the various social determinants and health behavioural risk factors associated with dental caries among primary school children in the rural community of Lithgow. Mr James John partners with

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DAVID JONAS FEATURED IN HEALTH IT NEWS

Health IT News has published David Jonas’s article on their online magazine. In this article Mr Jonas highlights that there is a strong case for digital health research and development that will improve individuals’ and communities’ health and well being, and this can advance the Australian economy by helping to enable a more connected, transparent and competitive

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CMCRC HEALTH PHD PRESENTS AT HEALTH FORUM

Well done to Health PhD Amir Marashi who presented his work at the ’45 and Up Study Annual Forum 2017’. Mr Marashi spoke on the association between physical activity and incidence of chronic health conditions in the Australian population aged 45 years and over which was well received. Recently, Amir also appeared with two of

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HEALTH TEAM’S MEDICATION MANAGEMENT WORKSHOP A SUCCESS

Professor Libby Roughead from University of South Australia shared some of her valuable experiences and topical insights into the issue of medication management at CMCRC recently with selected industry partners and researchers. Professor Roughead is the lead academic on medication management in the proposed Digital Health CRC. The result of the first round bid for

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JOINT PREDICTION OF ONSET CHRONIC CONDITIONS

Chronic conditions can be costly but also preventable as well as predictable. We develop a model to predict in the short term (2-3 years) the onset of one or more chronic conditions. Five chronic conditions are considered: heart disease, stroke, diabetes, hypertension and cancer. Predictions are made on the basis of standard demographic/socio-economic variables, risk

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PREDICTING CHRONIC DISEASES FROM HEALTHCARE DATA-A FRAMEWORK BASED ON GRAPH THEORY AND SOCIAL NETWORK MEASURES

The study illustrates a framework to predict the progression of chronic diseases from a new perspective using graph theory and social network analysis methods. The framework utilizes large and untapped longitudinal administrative data sets that contain ICD-10-AM disease codes that describe the principal and secondary diagnosis recorded during hospital admissions. The primary focus of the

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