Programme

Programme

 

Download the full conference programme proceedings below

Download Proceedings

 

Day 1: Friday January 18th, 2019
TimeSessionLocation
8:00Registration OpensL0 Foyer 260-071
8:50Conference attendees to be seated in plenary hallOGGB 4 260-073
9:00 - 9:30Powhiri / opening ceremony
Haka Powhiri (led by Tapeta Wehi)
Mihi/opening remarks - convenors
Prof Papaarangi Reid
Scott Pickering - ACC CEO
OGGB 4 260-073
9:30 - 10:00 Keynote 01: Presentation/Q&A –
'High Performance Medicine'
Professor Eric Topol
Editor-in-chief Medscape
Scripps Institute USA
OGGB 4 260-073
10:00 - 10:30Keynote 02:
'Deconstructing the Hype around Medical AI'
Dr Leo Celi MIT
Clinical Research Director & Principal Research Scientist, MIT Laboratory for Computational Physiology; Intensive Care Physician, Beth Israel Deaconess Medical Centre (BIDMC)
OGGB 4 260-073
10:30 - 11:00Keynote 03:
'Data-driven Māori flourishing and principles of data sovereignty'
Andrew Sporle
Te Mana Raraunga (Māori Data Sovereignty Network)
OGGB 4 260-073
11.00 - 11.20Morning tea
11:20 - 11:50Keynote 04:–
'Data science for medicine'
Dr Mihaela Van Der Schaar (via video link)
John Humphrey Plummer Professor of Machine Learning, Artificial intelligence and Medicine at University of Cambridge, Turing Faculty Fellow of The Alan Turing Institute
OGGB 4 260-073
11:50 - 12:30Panel discussion
Chair: Assoc. Prof. Robyn Whittaker
National Institute for Health Innovation, Waitemata DHB
OGGB 4 260-073
12:30 - 13:15Lunch
13:15 - 13:30Workshop briefingOGGB 4 260-073
13:30 - 16:00 Hands-On Workshop 1 with facilitators
*All workshops are run at this time
Building a High Resolution Clinical DatabaseDecima Glenn, 260-310
Introduction to MLOGGB 3, 260-092
AI for Medical Image analysisOGGB 4, 260-073
Data mining clinical notesOGGB 5, 260-051
Demystifying healthcare information systemsCase Room 2, 260-057
Analysing ECG using Deep learningCase Room 3, 260-055
Pitfalls of Health DatascienceCase Room 4, 260-009
MIMIC III and the eICU Collaborative Research DatabaseSeminar Room, 260-040B
16:00 - 18:00Welcome reception / networking event
Guest of Honour/speaker, Mr Ross Ihaka - the co-founder of "R"
Food and open bar available
L1 Foyer 260-101
DAY 2: Saturday January 19, 2019
TimeSessionLocation
8:30Registration OpensL0 Foyer 260-071
9:00 - 9:30Keynote 05:
'AI for Health: Augmenting Clinical Care'
Jenna Wiens PhD: Assistant Professor of Computer Science and Engineering (CSE) at the University of Michigan in Ann Arbor
OGGB 4 260-073
9:30 - 10:00Keynote 06:
'Smarter health decisions with data science: an operational and a policy example'
Kylie Reiri: General Manager, Nicholson Consulting and Ernestynne Walsh: Senior Data Scientist, Nicholson Consulting
OGGB 4 260-073
10:00 - 10:30Morning tea
10:30 - 13:00Hands-On Workshop with Facilitators (repeated)
*All workshops are run at this time
Building a High Resolution Clinical DatabaseDecima Glenn, 260-310
Introduction to MLOGGB 3, 260-092
AI for Medical Image analysisOGGB 4, 260-073
Data mining clinical notesOGGB 5, 260-051
Demystifying healthcare information systemsCase Room 2, 260-057
Analysing ECG using Deep learningCase Room 3, 260-055
Pitfalls of Health DatascienceCase Room 4, 260-009
MIMIC III and the eICU Collaborative Research DatabaseSeminar Room, 260-040B
13:00 - 13:45Lunch
13:45 - 14:15Optimising Data for Health (ACC - MIT)OGGB 4 260-073
14:15 - 15:05Achieving the quadruple aim (lightning talks)
Ministry of Health - Jon Herries
Health Workforce New Zealand - Prof. Des Gorman
Ministry of Social Development - Eru Lyndon
National Hauora Coalition - Dr Rawiri Jansen
Health Law - Rochelle Style
OGGB 4 260-073
15:05 - 15:30Cross-Sector Panel
15:30 - 15:55Final Speaker: Professor Elizabeth Broadbent, Department of Psychological Medicine
Faculty of Medical and Health Sciences, University of Auckland
OGGB 4 260-073
15:55Closing remarks and whakawātea – farewell

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