A Versatile Big Data Health System for Australia: Driving Improvements in Cardiovascular Health.
暂无分享,去创建一个
M. Inouye | G. Figtree | D. Cadilhac | E. Banks | E. Paige | T. Briffa | J. Verjans | G. Dwivedi | L. Nedkoff | Louisa R Jorm | K. Doyle | R. Mahoney | Meng-Ping Hsu
[1] J. Hung,et al. Differences in stroke risk and cardiovascular mortality for Aboriginal and other Australian patients with atrial fibrillation , 2020, The Medical journal of Australia.
[2] C. Anderson,et al. Disparities in Antihypertensive Prescribing After Stroke: Linked Data From the Australian Stroke Clinical Registry. , 2019, Stroke.
[3] G. Figtree,et al. ST‐Segment–Elevation Myocardial Infarction (STEMI) Patients Without Standard Modifiable Cardiovascular Risk Factors—How Common Are They, and What Are Their Outcomes? , 2019, Journal of the American Heart Association.
[4] D. Chew,et al. Nationally linked data to improve health services and policy , 2019, The Medical journal of Australia.
[5] K. Butcher,et al. Exploring the relationship between ischemic core volume and clinical outcomes after thrombectomy or thrombolysis , 2019, Neurology.
[6] C. Anderson,et al. Multicenter, Prospective, Controlled, Before-and-After, Quality Improvement Study (Stroke123) of Acute Stroke Care , 2019, Stroke.
[7] M. Goldacre,et al. Comparative trends in coronary heart disease subgroup hospitalisation rates in England and Australia , 2019, Heart.
[8] David W. Johnson,et al. Health data linkage research in Australia remains challenging , 2019, Internal medicine journal.
[9] Ronan A Lyons,et al. The Dementias Platform UK (DPUK) Data Portal , 2019, bioRxiv.
[10] C. Anderson,et al. Maximising data value and avoiding data waste: a validation study in stroke research , 2018, The Medical journal of Australia.
[11] P. Donnelly,et al. The UK Biobank resource with deep phenotyping and genomic data , 2018, Nature.
[12] G. Figtree,et al. Utilizing state‐of‐the‐art “omics” technology and bioinformatics to identify new biological mechanisms and biomarkers for coronary artery disease , 2018, Microcirculation.
[13] Jim Warren,et al. Cardiovascular disease risk prediction equations in 400 000 primary care patients in New Zealand: a derivation and validation study , 2018, The Lancet.
[14] C. Anderson,et al. Treatment and Outcomes of Working Aged Adults with Stroke: Results from a National Prospective Registry , 2017, Neuroepidemiology.
[15] M. Ward,et al. Increasing proportion of ST elevation myocardial infarction patients with coronary atherosclerosis poorly explained by standard modifiable risk factors , 2017, European journal of preventive cardiology.
[16] Harvey Goldstein,et al. Challenges in administrative data linkage for research , 2017, Big Data Soc..
[17] C. Anderson,et al. Quality of Acute Care and Long-Term Quality of Life and Survival: The Australian Stroke Clinical Registry , 2017, Stroke.
[18] Eric E. Smith,et al. Registry-based randomized controlled trials- what are the advantages, challenges, and areas for future research? , 2016, Journal of clinical epidemiology.
[19] N. Lannin,et al. Addressing the challenges of cross‐jurisdictional data linkage between a national clinical quality registry and government‐held health data , 2016, Australian and New Zealand journal of public health.
[20] Bill Stavreski,et al. Absolute risk of cardiovascular disease events, and blood pressure‐ and lipid‐lowering therapy in Australia , 2016, The Medical journal of Australia.
[21] Jim Warren,et al. Cohort Profile: The PREDICT Cardiovascular Disease Cohort in New Zealand Primary Care (PREDICT-CVD 19). , 2015, International journal of epidemiology.
[22] Nicolaas P Pronk,et al. Clinical Decision Support Systems and Prevention: A Community Guide Cardiovascular Disease Systematic Review. , 2015, American journal of preventive medicine.
[23] S. Zubrick,et al. Evidence for the use of an algorithm in resolving inconsistent and missing Indigenous status in administrative data collections , 2014 .
[24] Sidhartha Sinha,et al. Studies using English administrative data (Hospital Episode Statistics) to assess health-care outcomes--systematic review and recommendations for reporting. , 2013, European journal of public health.
[25] Sean M. Randall,et al. Data linkage infrastructure for cross-jurisdictional health-related research in Australia , 2012, BMC Health Services Research.
[26] Jane M. Young,et al. Audit and feedback: effects on professional practice and healthcare outcomes. , 2012, The Cochrane database of systematic reviews.
[27] T. Vos,et al. Burden of Stroke in Indigenous Western Australians: A Study Using Data Linkage , 2011, Stroke.
[28] H. Diener,et al. The Virtual International Stroke Trials Archive (VISTA): Results and Impact on Future Stroke Trials and Management of Stroke Patients , 2010, International journal of stroke : official journal of the International Stroke Society.
[29] Jon Nicholl,et al. Rethinking pragmatic randomised controlled trials: introducing the “cohort multiple randomised controlled trial” design , 2010, BMJ : British Medical Journal.