The CBDRH is the first Australian research centre dedicated to health research using Big Data. Our aim is to use Big Data to improve health for all Australians.
We've found that 22% of TAVI patients were readmitted within 90 days, with 76% seeking care at non-index hospitals. This was not linked to higher mortality or healthcare use. Reassuring news for TAVI patients in regional areas with limited access to return to index TAVI hospital!
Fresh off the press article on estimating bias in causal epidemiological studies, using assisted reproduction as an example! https://t.co/2gMtAuVMkE
A big thank you to the wonderful co-authors who supported this work
The Australian Government-funded https://t.co/qiW3nc2jbe website is here to support anyone going through infertility. It is the only independent source of IVF clinic success rates and a tool to predict your personalised chance of IVF success @UNSWMedicine@cbdrh1#BigMiracles
DHCRC was proud tonight to sponsor the inaugural @ResAustralia Data Innovation Award. Congratulations to Prof Georgina Chambers & the team at National Perinatal Epidemology and Statistics Unit NSW who created https://t.co/wx8OMbisfW to help consumers make informed IVF decisions
Our first award of the evening is the Data Innovation Award, sponsored by @digihealthcrc . The Data Innovation Award goes to Professor Georgina Chambers @GMChambersNPESU and her team at the National Perinatal Epidemiology and Statistics Unit.
Private patients undergoing PCI for myocardial infarction in public hospitals have similar length of stay and in-hospital complications to public patients, but lower rates of mortality. What unmeasured characteristics are causing this effect?https://t.co/SGcHAuh37G
The NPESU team are among our finalists for the Data Innovation category at this year's #ResAusAwards. You can read more about the team’s work in the article, over on our website: https://t.co/x6kOYqOGEO @cbdrh1@UNSWMedicine@UNSW 3/3
Risk for Congenital Anomalies in Children Conceived With Medically Assisted Fertility Treatment: A Population-Based Cohort Study: Annals of Internal Medicine: Vol 0, No 0 https://t.co/bhu8U6MPsv
@UNSWMedicine, @cbdrh1, @ChrisVenetis,@AlysHavard
1/2 Meet the facilitators of @UNSW's Leading Future Technologies course👋
Starting 16 OCT, this course will be run by human #informationprocessing expert, Dr Sebastian Sequoiah-Grayson, & leader of the @cbdrh1#analytics & #machinelearning unit, A/Prof. Blanca Gallego Luxan.
Just published - our paper evaluating the YourIVFSuccess Estimator: Does a public online IVF prediction tool help set patient expectations? A mixed methods evaluation study https://t.co/c2Adra7AmG @bhaasdyk@GMChambersNPESU
New🐨study shows the use of sodium-glucose co-transporter 2 inhibitors (SGLT2i) 💊 and glucagon-like peptide-1 receptor agonists (GLP-1RA) 💉 has increased with the increasing evidence of their cardiovascular benefits. @MedIntelCRE@UNSWMedicine https://t.co/kI2qg4MAzg
Low persistence to 4 groups of cardiovascular medicines in 3 years, but high adherence while people are on therapy.
Cardiovascular multi-medicine use is common (>31%) but does not appear to impair persistence and adherence to therapy.
https://t.co/b0DtespD1m
@MedIntelCRE
This week is Heart Failure Awareness Week in Australia.
We’d like you to meet one of our researchers at the cutting edge of heart research, A/Prof Blanca Gallego-Luxan, the lead data scientist for the Cardiac AI project at UNSW’s Centre for Big Data Research in Health (@cbdrh1)⬇️
Have we been underestimating modifiable dementia risk? An alternative approach for calculating the combined population attributable fraction (PAF) for modifiable dementia risk factors https://t.co/Au5NmOPPdu @cbdrh1@DrChrisTisdell
Childbirth timing and completed family size by the mode of conception—the role of medically assisted reproduction: a population-based cohort study in Australia https://t.co/x4IqZTV9Zf
Are you a HASS HDR student or PhD supervisor based in Sydney? @stevenmce is co-facilitator at a workshop organised by @cbdrh1 on sensitive data
+ Five Safes framework. Register 👇to attend. Please share in your networks.
https://t.co/UnOJms6jeO