Blog

Submit a Challenge for the 2022 WA Health Hackathon 

health hackathon header

Submit a Challenge for the 2022 WA Health Hackathon 

The WA Health Hackathon is back!
Submit your Healthcare Challenge for 2022
We are currently looking for real healthcare challenges to be explored during the 2022 WA Health Hackathon.

The WA Health Hackathon will bring together a diverse group of data professionals and students to explore innovative digital and data-driven solutions to real world healthcare challenges. Teams will take part in a range of upskilling/training sessions and develop prototype solutions for specific healthcare challenges, applying techniques such as data analysis and visualisation, machine learning, and digitisation.

Submitting a Healthcare Challenge
Challenges can be put forward by WA-based clinicians, medical researchers, provider organisations, academia, government, and industry.Each challenge submitted for the Hackathon must have a clearly defined problem and an assigned domain expert. The assigned domain expert must be available for a minimum of 30 minutes during the first week of the Hackathon (8-12 August 2022) for a Q&A session with the team assigned to work on their challenge. This can be done virtually or in-person. We are also encouraging all domain experts and challenge owners to attend the final pitch night scheduled for Thursday, 18 August 2022 – please save the date in your calendars.

WADSIH and our event partners will also work with individuals submitting challenges to identify and access datasets necessary for prototyping during the Hackathon.

If you need support in defining your challenge, or you’d like to discuss your challenge’s eligibility, please reach out to the WADSIH team, wadsih@curtin.edu.au

 
 

 

Challenge submissions close 5.00pm Friday 27th May 2022.

Recent Articles

WA Health Hackathon 2023 Launch

A cornerstone of this year’s Hackathon is the pioneering introduction of synthetic data. Using these data sets offers the best of both worlds: replicating real-world trends without risking genuine patient or system data.

Read More