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Data & Analytics in Healthcare, New Zealand


Unleashing the power of data to revolutionise patient outcomes

9 August 2022
Park Hyatt, Auckland
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AGENDA

  • Tuesday August 9, 2022
08:00 AM
Registration open

Register; and grab coffee.

Mix, mingle, and say hello to peers old and new.

08:55 AM
Welcome from Corinium
09:00 AM
Thought Leader: Your Data Won’t Speak Unless You Ask It The Right Questions

Our approach to data literacy at Capital & Coast District Health Board (CC, Te Whatu Ora) sees us attempt to make complex data contexts transparent, so as to try to narrow the gap between the meaning constructed by the writer and the meaning interpreted by the reader.  
This session will discuss: 

  • The importance of data standardisation to support work 
  • What are the assumptions that people make about data and how to work with them 
  • Data literacy that supports the effective functioning of the staff using it 
  • How to respect the experience of participants and acknowledge that not all data comes from graphs and tables. 
  • Learn from the success when this program was implemented.  

 Speaker: Stuart McCaw, Program Manager, Capital & Coast, Te Whatu Ora 

09:25 AM
Case Study: Implementing strategic management of data in healthcare
With so much data gathered on the patients and their care it’s important to establish good practice and overcome practical barriers in the strategic management of data. With over 6 years’ experience setting up data management and governance teams join this session to learn:
• What is the scope of the data management
• What’s the difference between data management and data governance
• Who do you need on a data management team
• What are your priorities
 
Speaker: Dr Karolyn Kerr, Data Manager, IHC New Zealand Incorporated
09:50 AM
Case Study: The State of Healthcare Analytics & Interoperability in New Zealand – Market Study Review

Speakers:

Brian Biggs, Director, Customer Relations and Sales, New Zealand, Intersystems

Andrew Aho, Regional Director of Data Platforms, Australia, New Zealand and South-East Asia, InterSystems 

10:15 AM
Presentation: Bridging The Talent Gap

Many staff that work in IT in the Health sector have always worked in Health and have no comparisons of evolution and growth to measure. They do not have the exposure to other industries which have grown to their IT capacities. 

  • How Healthcare organisations recruit develop and retain top data and analytics talent. 
  • Where are the skilled IT data professionals coming from 
  • A belief that you need a background in healthcare to work in Health IT 

 Speaker:  Masum Billah, Head of Data Science, Tuwharetoa Health 

10:40 AM
Get Refreshed!

Mingle with the speakers and sponsors within the Exhibition Area

11:10 AM
Case Study: Preparing For Enterprise Systems Transformation In Healthcare – A Data Migration Primer

Case Study: Preparing For Enterprise Systems Transformation In Healthcare – A Data Migration Primer 
Overview of key activities within a migration workstream. 

  • Four different migration patterns – which one are you? 
  • Effective migration governance - how to run it, and who should be there? 
  • Key team roles and responsibilities 
  • What does a good plan look like? 
  • Where to start? 

Speakers:  

Ali Khan, Director Data & Analytics, Auckland, Te Whatu Ora 

Terry Patmore, Data Lead, Auckland, Te Whatu Ora

11:35 AM
Secure Data Sharing For The Helth System
In a paper from Stats NZ entitled “COVID-19 lessons learnt” both Data sharing and Data infrastructure and capability were called out under “what could be improved”
  • Data sharing has traditionally been very difficult, involving data extracts, transmission, and complex integration pipelines.  Data infrastructure often requires large up-front investment and additional teams to manage
  • Snowflake makes data sharing simple and secure and enables even the smallest agency to stand up infrastructure quickly and cost effectively

Speaker: Wessel de Meyer, Senior Sales Engineer, Snowflake

12:00 PM
Case Study: Putting an AI through Medical School.

Decoded Health has been able to improve access to care, patient outcomes and physician productivity by leveraging cutting edge graph-based machine learning.  Decoded Health has been able to automate and augment clinicians by putting an AI system through the same rigorous training that one would go through in medical school. Join to hear how their explainable AI solutions are personalising patient engagement and communication at scale while reducing physician shortages and burnout. 
 
Speaker: Anna Spyker, Data Engineer, Decoded Health

12:25 PM
Panel Discussion: Best Practices In Data Governance

How could you create a framework to ensure high data quality and security? Data management has been a critical and common practice employed across industries for many years. This session will discuss: 

  • How you can borrow and implement these practices 
  • What is currently working in some districts? 
  • Who is responsible for ensuring data governance implementation? 

 Speakers: 
 Jakkie van Wyk, Director Programmes and Data, NZ Health Partnerships – Hono Oranga Aotearoa

 Dianna Morrison, Clinical Business Analyst, MercyAscot 

Kevin Ross, Founder and Chair, NZ Data Science & Analytics Forum

12:50 PM
Lunch

Mix and mingle over lunch.
Enjoy some downtime

01:50 PM
Fireside Chat: How Abano Health is building Integrated Experiences into Health Care

Effective healthcare delivery is important to each patient’s wellbeing. Whether patients are doing their annual routine checkups or a long medical procedure, only with connected data and applications, through enterprise automation, can healthcare providers have complete patient insights to optimise patient outcomes.

Join us for a Fireside chat where we will discuss how Abano Health is modernising the IT landscape and setting up the foundation to start automating end-to-end processes and the role Intelligent Integration and Automation play.

Speakers: 

Nisha Clark, CIO of Abano Healthcare 

Venkata Narra, Regional Presales Manager, APAC, SnapLogic 

02:15 PM
Panel Discussion: How New Zealand’s Government Will Share And Manage Data

This session hopes to address what could happen with the data in the different health districts under the NZ Health system reforms: 

  • Citizens using their national health number – how will this be affected? 
  • How citizens will be able to understand the importance of their own data 
  • What changes will be made to citizens’ ability to adjust the privacy and view of their data 

 Speakers:  
Ryl Jensen, CEO, Digital Health Association 

Patrick Ng, Chief Digital Officer, Southern, Te Whatu Ora 

Dianna Morrison, Clinical Business Analyst, MercyAscot 

02:50 PM
Case Study: Collaborative innovation in health data science  

Speaker: Kevin Ross, CEO, Precision Driven Health 

03:15 PM
Afternoon tea

Get Refreshed! Mingle

03:45 PM
Case Study: Technology Acceptance Model (TAM) and Technology Adoption Model (TOM) in Building Analytics and AI Competency in a Hospital Environment. Aligning Theory to Practice.

There is exhaustive academic literature on TAM and TOM on HealthCare.  However, very few studies have been published on pragmatic approaches and experiences which aligns these frameworks into tactical and strategic directions.  Especially, when it comes to building Analytics and AI Competency within a Hospital setting.   
This case study proposes a framework which may open up new and readily adoptable opportunities in the use of Analytics and AI for better health care. 
 
Speaker: Ibrahim Shafiu, Business Intelligence Services Coordinator, Waikato, Te Whatu Ora 

04:10 PM
Discussion Group Round Tables: Should Everyone Have To Make A Hippocratic Oath When Using Patient Data?

Join a table and discuss the hypothetical Hippocratic oath and the ongoing consent discussion. 
 
Always keep the patient/customer context firmly in view, transparency is key moving forward (and should be interpretated as a positive one). Think about the harm that can be done by not sharing data in the right way, balanced against the risk of a privacy breach, just because you can does not mean you should. 
 
This becomes an ongoing consent discussion. Where do you draw the line and what do you think should be mandated? How do you make patients aware of the impact this will have on holistic health approaches? 
 
Speakers:  
Masum Billah, Head of Data Science, Tuwharetoa Health

Farhein Akmal, Senior Analyst, The Ministry of Health 

04:40 PM
Networking drinks
Enjoy a drink and a nibble and chat about the discussions from the day with others.
05:30 PM
End of the Conference

Thank you so much for joining us and we look forward to seeing you next year.