A Datathon brings clinicians and data science professionals together to explore large intensive care datasets and address real-world healthcare questions. Participants gain hands-on experience, develop new skills, and receive mentorship from leading experts in the field.
Working in multidisciplinary teams, participants collaborate to investigate a clinical question, applying data science tools and techniques to analyse complex datasets. This process generates insights and potential solutions to inform or improve patient care.
Datathons offer a valuable opportunity to enhance technical and analytical skills, develop and refine a formal project idea, and collaborate with a diverse group of healthcare and data science professionals
Since 2017, ANZICS has hosted datathons to enable participants to explore the extensive data held within the ANZICS ICU Registry, building understanding of registry data and supporting its use in driving quality improvement initiatives.
The data are curated to preserve privacy, while providing enough information for meaningful analyses. Participants are required to sign a Non-Disclosure Agreement, and if the work results in publication, the ANZICS Publication Policy must be adhered to. If there is scientific merit, we support and encourage teams to continue to work on their field of enquiry towards a formal publication beyond the day of the Datathon.
The datasets frequently available include curated sets from the Adult and Paediatric Registry and the Critical Care Resources Dataset.
APD and CCR Databases by David Pilcher_ANZICS CORE
Clinicians and trainees working in intensive care or intensive care research.
Data scientist and data analyst professionals and students with experience in R/Python/Matlab or SQL, machine learning, statistical modelling or data visualisation.
Bring along your laptop and charger!
Listen to our mentors as they explain how to prepare for a datathon
Dr Matt Maiden_Why a Critical Care Datathon is important
Why attend a Datathon? Ask the experts.
Datathon_How to ask answerable questions for publication_Prof Rinaldo Bellomo
A Summary & Reflection of the inaugural Indigenous Data Network Datathon by A/Prof Paul Secombe.
The data provided is extracted from the ANZICS Registry and curated to preserve privacy, while providing enough information for meaningful analyses. Participants are required to sign a Non-Disclosure Agreement, and if the work results in a publication, the ANZICS Publication Policy must be adhered to. If there is scientific merit, we support and encourage teams to continue to work on their field of enquiry towards a formal publication beyond the day of the Datathon.
The datasets frequently available at the Datathon included curated sets from the ANZICS CORE Adult Database, the ANZICS CORE Paediatric Intensive Care Registry, and the Critical Care Resources Dataset.