Precision Driven Health (PDH) is excited to return in 2020 as a major partner for Hack Aotearoa.

Building on the success of the 2019 conference – the first of its kind in New Zealand – Hack Aotearoa 2020 continues to innovate and will include a health datathon in addition to the main Artificial Intelligence in Healthcare conference.

This globally recognised Massachusetts Institute of Technology (MIT) Critical Data event aims to spark cross-disciplinary collaboration and learning of data science to improve healthcare. Hosted by the University of Auckland’s Faculty of Medical and Health Sciences and Massachusetts Institute of Technology (MIT) Critical Data, the event will see local and international data scientists, academics and healthcare professionals come together to present opportunities for the use of data science and Artificial Intelligence (AI) in health.

The overarching theme for the 2020 event is ‘Advancing the Quadruple Aim’, while the ethical use of data, and the use of data for Māori health equity, are key event themes. Hack Aotearoa is an exciting opportunity to advance the digital health and data science landscape in Aotearoa.

During the datathon, healthcare professionals and data scientists will have the chance to work with the MIT eICU Collaborative Care and MIMIC Critical Care datasets. The aim is to harness insights from these datasets and search for better ways to diagnose and treat critical care patients.

Precision Driven Health returns as a major partner for the second year running. Chief Executive Dr Kevin Ross is looking forward to the event.

“As New Zealand’s premier health data science collaboration, we are looking forward to another gathering that looks to unlock the value of data for our population. Hack Aotearoa combines local expertise and values with international know-how to bring a unique, hands-on experience over a few days,” says Dr Ross.

Philips ANZ is another major partner of Hack Aotearoa. As a leading health technology company, Philips ANZ provides connected care solutions powered by advanced analytics in order to improve health outcomes and the delivery of care. At the crux of transitioning towards value-based healthcare, the measurement of system-wide health outcomes and the improvement of patient care delivery is based on a combination of multiple datasets.

“As the owner of the largest translational ICU dataset in the world composed of 7.5 million ICU episodes, Philips is proud to contribute to events like Hack Aotearoa in order to drive academic and practical insights for New Zealand. We need to look at new, more efficient ways to increase access to care and improve care collaboration. Philips believes Hack Aotearoa is a great setting to start those conversations,” says Joe Cain, Business Manager Population Health, Philips ANZ.

Hack Aotearoa will take place 17th to 19th January 2020 at the Owen G Glenn Building, University of Auckland.

About MIT Critical Data
MIT Critical Data is an affiliation of research labs at Massachusetts Institute of Technology (MIT) who are engaged in research in and around data that has a critical impact on people’s health.

About Precision Driven Health
The Precision Driven Health partnership (PDH), established in 2016, is one of the most ambitious data science research initiatives to be undertaken in New Zealand. The partnership unites the health IT sector with healthcare providers and universities to create health and commercial opportunities for New Zealanders. Research is focused on applying new data science techniques to understand the massive volume of data about an individual captured by health information systems, consumer devices, social networks, genetic testing and other sources. To date, PDH has supported more than 75 projects in health data science, including summer and postgraduate scholarships, a joint PDH-HRC Postdoctoral Fellowship scheme, and multi-million dollar discovery and transformation programmes in several areas, including de-identification and deep learning. PDH researchers are also exploring vital concepts such as bias in machine learning, the ethics of AI use, and consent paradigms for enabling the next wave of health data research. Find out more at www.precisiondrivenhealth.com.