The Committee of the Public Health Observatory of NZ Inc welcomes you to the 2024 PHONZ Online Conference.

PHONZ was established in 2022 to provide a forum for people working and interested in health intelligence in New Zealand and internationally. We have grown our membership to more than 450 and held highly successful conferences in 2022 and 2023.

Our 2024 Conference has distinguished international and national speakers giving presentations on critically important topics such as Bad Science, Bad Evidence, the future of Health Intelligence, the use of AI in health intelligence, and several case studies of applications of health intelligence.

We are especially honoured that the internationally acclaimed Professor Ben Goldacre, Director of the Bennett Institute for Applied Data Science, University of Oxford, England, agreed to be our keynote speaker. Professor Goldacre has a highly distinguished career in informatics, epidemiology, and evidence-based medicine, and his presentation will focus on a topic of utmost relevance to people working in health intelligence.

We would also like to acknowledge the support PHONZ has received from Environmental Health Intelligence NZ (EHINZ), the National Public Health Agency, Health New Zealand, and the Ministry for Pacific Peoples. Thank you for supporting PHONZ.

Day One session recording

Watch on YouTube: 

Chapter list (slides are linked where available)

0:00:00 - Opening remarks & Karakia

0:03:51 - Prof. Ben Goldacre: 'Better, Broader Safer: Using health data for research and analysis'

0:48:13 - Leonid Schneider: 'Revolution now! (against science fraud)

1:22:05 - David Bilmer, a.k.a. ''Smut Clyde": 'Parody Science'

1:43:23 - Dr Brian Jones: 'Detecting Dodgy Papers'

2:03:03 - Prof. Andrew Grey: 'Complicated Shadows: the strange world of publication integrity'

2:24:38 - Prof. Shanthi Ameratunga: 'Addressing health intelligence gaps in monitoring and evaluating long-term recovery following childhood injuries.

2:39:31 - Giles Graham, Joanne Hewitt: 'Wastewater surveillance - COVID-19 to an evaluation for influenza and RSV'

3:01:00 - Matt Radford: 'Filling the gaps: using pharmacy data in Hawke's Bay post Cyclone Gabrielle'

3:22:05 - James Scarfe: 'Childhood scabies in New Zealand 2001-2023: an exploratory analysis'

3:42:18 - Dr Lynn Riggs: 'The relationship between multidimensional disadvantage, poor health and wellbeing.'

3:59:56 - Dr Kaaren Mathias - 'Opening up the 'black box': what strategies do community mental health workers use to address social dimensions of mental health?'

4:16:05 - Bernadine Williams: 'The wellbeing of children in emergency housing motels: service provider's perspective'.

4:35:20 - Frances Arenhold: 'Paying it forward - Tohu Manawa Ora | Healthy Heart Award makes an investment in tamariki and early learning environments.

4:49:12 - Giles Graham, Zoe Kumbaroff, Andrew Anglemeyer: 'The "Augh" in ARI Surveillance: mistakes and lessons learned from maintaining the ARI surveillance dashboard.

5:12:43 - Closing remarks

Day Two: The future of health intelligence & the implications of AI

 Watch on YouTube

Chapter list (slides are linked where available)

0:00:00 - Opening remarks & karakia

0:01:07 - Dr Chris Skelly & Prof. Barry Borman: 'Public Health Intelligence: past, present, future: a personal perspective'

0:28:07 - Dr Juliet Rumball-Smith: 'Establishing in-house operational Intelligence for NPHS'

0:46:00 - Dr Christie Carter: 'The Public Health Surveillance Strategic Plan'

1:06:18 - Tara Swadi: 'The role of evidence at the Ministry of Health'

1:24:46 - Vince Galvin: 'The Future of Population and Social Statistics'

1:46:41 - Len Cook: 'Tracking the path of the population storm so we might know what to do about it in NZ'

2:11:07 - Dr James Greenwell: 'Checking the foundations of health intelligence'

2:33:37 - Prof. Richard Arnold: 'Arrival risk monitoring'

2:51:12 - Dr Osman Mansoor: 'A Substack on Tairāwhiti District Data'

3:08:54 - Prof. Alistair Knott: 'Use and risks of generative AI in healthcare'

3:30:15 - Assoc. Prof. Michael O'Sullivan: 'An AI-enabled framework for transferable pandemic modelling'.

3:47:25 - Dr Robyn Whittaker: 'AI governance in Health NZ'

4:07:16 - Dr Rooshan Ghous: 'A robust machine learning model for long-term survival prediction of breast cancer patients in New Zealand.

4:28:29 - Dr David Squirell: "Doctor, I can trust this result, right?"

4:39:22 - Closing remarks