AI in Healthcare Training Program & Datathon 2022

National Big Data Analytics and AI training program for Australian Healthcare Leaders, Clinicians, Nurses, Researchers and Scientists

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What's AI? How can it help me? What can I do for my patients?

This program will introduce big data capture analytics and AI in healthcare to empower healthcare leaders, clinicians, nurses and research scientists to confidently engage with these tools to improve their workflow and patient outcomes.
 
This is an incredible opportunity to learn from world leaders in the field with course content developed by the Massachusetts Institute of Technology and the Gradient Institute.
 
The courses will take place in-person with workshops facilitated in each major city nationally starting on July 2022.
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Choose any of the following courses

Course 1
Executive Course
Online self-paced course content + 2 days of masterclasses at Gold Coast (in-person or online)
July 21 - 22
Course 2
Clinicians, Nurses and Researchers Course
Online self-paced course content + 10 weeks of days of study group tutorials (in-person or online)
July 26 - October 4
Medical Dathaton
2 day national medical datathon in partnership with ANZICS and MIT Critical Data + national competition
October 15 - 16

Course 1 - Executive Course

Online self-paced content available from 21st July -15th October + 2 days of live masterclasses

Live Masterclasses

Take the opportunity to learn with your peers at this exciting in-person event. For two days on the Gold Coast, you will learn from experts in Healthcare and AI and learn with your peers in this closed-group event exclusively for healthcare executives.

When: 21st - 22nd July 2022
Where: In-person Gold Coast + virtual attendance
Fee: $250 + GST in person | $125 + GST virtual

CPD points: 15 hours Fellows of the Royal Australasian College of Physicians (RACP) can claim CPD credits for this activity in MyCPD

Course objectives:

  • Understand the benefits and risks of implementing big data capture and AI in your organisations
  • Be able to conduct a high-level assessment of AI technology suitability for your organisation

Please apply for this course only if you are a healthcare executive or leader.


Delivered in partnership with Cahoot Learning

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Course highlights:

  • Overview of big data and AI basics and terminology
  • AI in healthcare: demonstrated benefits
  • Risks of AI in Healthcare
  • Optimizing operations using big data and AI
  • AI enabled business models
  • Australian regulation and policies on AI in health and research

Featured Speakers:

  • Dr Leo Celi - Clinical Research Director, Laboratory of Computational Physiology, Massachusetts Institute of Technology; Associate Professor of Medicine, Harvard Medical School
  • Prof Keith McNeil - Assistant Deputy Director General and CCIO, Queensland Health
  • Dr Catriona Wallace - Executive Director, The Gradient Institute; Non-Executive Director, Garvan Institute of Medical Research
  • Dr Katherine Heller - Research Scientist, Google; Postdoctoral Fellow, Brain and Cognitive Sciences, Massachusetts Institute of Technology

Course 2 - Clinicians, Nurses, and Researchers Course

Learn at your own pace with a cohort of your peers online and get expert support at weekly tutorials. This crash-course in big data analytics and AI for healthcare will ease you into the content and leave you with the foundational knowledge and skills to confidently engage with and build big data analytics and AI to enhance your workflow, accelerate your research, and improve patient outcomes.

Live tutorials with expert facilitators

When: 5:30 pm -7:00 pm | 26th July - 4th Oct 2022
Where: In-person Adelaide, Melbourne, Sydney, Brisbane and Gold Coast + virtual attendance
Fee: $150 + GST in person

CPD points: 30 hours Fellows of the Royal Australasian College of Physicians (RACP) can claim CPD credits for this activity in MyCPD + 10 weeks of days of study group tutorials in-person or online

Course objectives:

  • Understand how big data capture and AI can support your work and improve patient outcomes
  • Be fluent in the different types of AI and how it can be applied to healthcare and research
  • How to use healthcare data and AI tools to improve patient outcomes
  • Use basic coding to query big data and predictive models
  • Understanding the foundations of common data analysis approaches for health data

Delivered in partnership with Cahoot Learning

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Course highlights:

  • Overview of data science and AI basics and terminology
  • Secondary analysis of electronic health records
  • Challenges in health data science
  • Data preparation, pre-processing,
  • Australian regulation and policies on AI in health and research
  • Ethical implementation of AI
  • Fairness and algorithm disparity and bias
  • Sensitivity Analysis and Model Validation

Featured Speakers:

  • Dr Leo Celi - Clinical Research Director, Laboratory of Computational Physiology, Massachusetts Institute of Technology; Associate Professor of Medicine, Harvard Medical School
  • Dr Catriona Wallace - Executive Director, The Gradient Institute;
    Non-Executive Director, Garvan Institute of Medical Research
  • Prof John D. Halamka - Professor of Medicine, Harvard Medical School; Chief Information Officer, Beth Israel Deaconess Medical Center
  • Dr Kiri Wagstaff - Principal Researcher, NASA
  • Dr Allan Walkey MD. - Professor of Medicine, School of Medicine, Boston University; Co-Director, Evans Center for Implementation & Improvement Sciences, Boston University

Medical Dathaton

IntelliHQ has partnered with ANIZCS and MIT Critical Data to deliver an epic national medical datathon! Teams will be competing nationally for big prizes to help develop their solutions and make a real difference in healthcare.

When: 8:30 am - 4 :00 pm | 15th - 16th October 2022
Where: In-person Melbourne, Sydney, Adelaide, Brisbane + virtual attendance
Fee: $50 + GST (per person)

Delivered in partnership with ANZICS

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Datathon teams will consist of a clinical lead and a technical lead, healthcare workers, medical researchers, students, IT experts, and industry experts. Teams will be able to use real clinical data provided or bring their own data to solve a healthcare problem using big data analytics and AI.

The datathon will take place over two weekend days for teams to work on the data to solve healthcare and medical research challenges culminating in a pitch and networking night where participants will present their ideas to a panel of expert judges.

Prizes will be awarded to the top three teams including resources and an ongoing support for the teams to continue the development of their idea.

No expertise or coding ability needed - sign up now!

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This Program is funded by the MTPConnect REDI Program.

The $32 million REDI Program is supported by MTPConnect’s Researcher Exchange and Development within Industry (REDI) initiative funded by the Medical Research Future Fund (MRFF).

In delivering the REDI program, MTPConnect is partnering with research, training and industry organisations to deploy an integrated three-pillar plan driving skills and workforce development for the medical technology, biotechnology and pharmaceutical (MTP) sector nationally. Through a competitive process, MTPConnect has selected additional industry training providers to deliver new programs addressing key skills gaps in the sector workforce.

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Curious?

Watch our Information and FAQ session for more details on the program below.

Thank You to Our Sponsors

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Thank You to Our Program Partners

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Sponsorship opportunities are still open, contact jasmine.grujovski@intellihq.com.au now for more details.