Professor Gill Dobbie part of team to receive the 2017 MinterEllisonRuddWatts Research and Business Partnership Award

28 July 2017
(left to right) Professor Gill Dobbie, University of Auckland with Kate Reid, Orion Health Ltd, Richard Wells from MinterEllisonRuddWatts and Robyn Whittaker, Waitemata District Health Board Receiving their 2017 MinterEllisonRuddWatts Research and Business Partnership Award for the Precision Driven Health partnership.
Left to right: Professor Gill Dobbie, University of Auckland with Kate Reid, Orion Health Ltd, Richard Wells from MinterEllisonRuddWatts and Robyn Whittaker, Waitemata District Health Board.

Professor Gill Dobbie from the Department of Computer Science is the science lead in a collaborative University of Auckland team working on the Precision Driven Health partnership with Orion Health and Waitemata District Health Board (with support from the Ministry of Business, Innovation and Employment).

Their work was recognised in the 2017 Kiwinet Research Commercialisation Awards when they were presented with the 2017 MinterEllisonRuddWatts Research & Business Partnership Award. 

The MinterEllisonRuddWatts Award is one of several KiwiNet Research Commercialisation Awards, and is given in recognition of the deeply embedded working relationships between a research organisation and businesses that delivers significant commercial value for New Zealand.

Precision Driven Health (PDH) is a seven-year NZ$38m research partnership which improves health outcomes through data science.  PDH positions New Zealand at the forefront of precision medicine, enabled when all information about an individual – including his or her genetic and social profile – is available as part of an electronic health record, accessible by clinicians in real time.

Professor Gillian Dobbie, Department of Computer Science, Faculty of Science and Arron Judson, Sector innovation Manager for UniServices were integral in the development of the partnership. 

Professor Dobbie is currently overseeing the research and the partnerships four key themes:

  1. Broaden the scope of precise healthcare by making new data sources available led by Professor Thomas Lumley, Department of Statistics, Faculty of Science.
  2. Utilise a variety of big data sources for predictive modelling in a healthcare setting led by Professor Bernhard Pfahringer, Department of Computer Science, Faculty of Science.
  3. Utilise disparate data sources, analyses, and technologies to enable precise healthcare led by Dr Michael O'Sullivan, Department of Engineering Science, Faculty of Engineering.
  4. Leverage technology to empower patients to self-manage their health led by Professor Robyn WhittakerWaitemata District Health Board.

More commercial partners, healthcare providers and academic institutions will join as the partnership continues.