Jeff Flack
Bankstown-Lidcombe Hospital, NSW, Australia
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- This delegate is presenting an abstract at this event.
Head, Department of Diabetes & Endocrinology and Director, Diabetes Centre Bankstown-Lidcombe Hospital, Sydney.
Main area of clinical research interest is Information Technology applications in Medicine, especially Data sets and Quality Audit initiatives involving Diabetes Data collection, analysis and reporting. He developed [with Professor Stephen Colagiuri] the Australian National Diabetes Information Audit and Benchmarking initiative, [ANDIAB], that collated diabetes data from Specialist Diabetes Services in Australia and benchmarked results for participants to review their process and outcomes data with peers. ANDIAB ran as a Pilot in 1998, thence in 1999 - 2011. He Chaired the National Diabetes Data Working Group [NDDWG] until 2012, the Advisory Committee to the National Centre for Monitoring Diabetes (Incorporating the National Diabetes Register) at the AIHW.
He served on the Australian Diabetes Society Council from 2000-2006, and was ADS President 2004-2006. He is a Conjoint Professor, School of Medicine Western Sydney University and Conjoint Associate Professor, Faculty of Medicine UNSW. In August 2014 he was awarded Honorary Life Membership of the Society and an ADS Lifetime Achievement Award for services to diabetes including ANDIAB. Professor Flack received an AM in the Australia Day 2016 Honours List.
Presentations this author is a contributor to:
Novel Web-based Risk Calculators and Nomograms for Predicting Adverse Pregnancy Outcomes in GDM Women (#15)
2:20 PM
Tang Wong
Oral Presentations
Relationship between sleep and snoring and body mass index among women with risk factors for gestational diabetes mellitus at booking: Preliminary findings from a multicentre randomized trial (#73)
5:00 PM
David Simmons
Welcome Function and Poster Viewing
Increased rate of SGA in GDM patients diagnosed according to IADPSG criteria (#16)
2:30 PM
Rona Francisco
Oral Presentations
Can risk prediction calculators be used to inform models of care aligned to risk stratification in women with GDM? (#81)
5:00 PM
Tang Wong
Welcome Function and Poster Viewing
Data and GDM/DIP (#25)
4:30 PM
Jeff Flack
Perspectives on GDM