This year the WA Data Science Innovation Hub (WADSIH) and the Department of Health (DoH) are putting forward six Challenges for WA’s innovators, technologists and software gurus to resolve.
Starting on Monday 9 October, participants will have access to cutting-edge synthetic data, expert mentorship, and a shot at major prizes, plus ongoing support to bring their solutions to life.
Don’t miss your chance to be part of this major event in WA’s innovation calendar!
Thanks to our Technical Sponsor Microsoft, enticing prizes and ongoing support await to ensure that prototypes birthed from WA’s innovation ecosystem drive impactful change across the State.
Register now as a Participant:
Download Participant Brochure Here
The six Challenges cover a variety of different elements of WA’s healthcare systems. Each of the Challenges will be paired with supporting data and dedicated mentors. These Challenges are big and complex! They will require participants to dedicate slightly more time to developing and testing their ideas than a normal hackathon would require. To help this we will be having dedicated mentoring sessions and a week-long, moderated chat system to help answer any questions that teams might have.
1. How can we use our data to help improve patient flow through Emergency Departments in WA public hospitals without compromising care quality?
2. How can we improve our surgical and operational planning to reduce patient wait times?
3. Hospitals are often at the end of a long chain of service interactions. How could we use non-health data feeds and optimisation technologies to improve our operational planning for Emergency Departments?
4. A cancer diagnosis is a significant moment for a patient and their support network. It often leads into a long period of treatment and support. Prevention and early detection play a big role in positive outcomes. How could we better track and support cancer patients through this journey? Can we pre-emptively identify potential patients through target interviews and other ongoing, cancer detection programs?
5. Hospitals are complex systems with data being transferred from patient to nurse, to doctor, to surgeon, to GP and back to the patient – all through a variety of technologies. With new technologies emerging every day how could we use artificial intelligence and machine learning to increase efficiencies in clinical practice?
6. Our patients are at the heart of all the health system – we are always trying to do better for you. Using modern digital tools and thinking how can we provide patients with better ways to interact with their care process and provide us feedback?
We would like to acknowledge and pay respect to the traditional owners of the land on which the WADSIH office is located, the Whadjuk people of the Nyungar Nation.
