ACS Emerging and Deep Tech Webinar series: Diagnosis, detection, and decision-making using Artificial Intelligence over Electronic Health Records
Join us at this virtual event, where Professor Karin Verspoor, Executive Dean of the School of Computing Technologies at RMIT University and a Fellow of the Australasian Institute of Digital Health, will talk on adoption of electronic health records and how this information can be utilised to support clinical decisions.
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About this event
Adoption of electronic health records to document extensive clinical information brings with it the opportunity to utilise that information to support clinical decisions.
In this talk, our speaker Professor Karin Verspoor will discuss both these opportunities, and the challenges that we face when working with real-world clinical data. Karin will introduce some of the strategies that they are adopting to make this data more usable, and to model it effectively to support clinical decision making.
Karin will also discuss several examples of how they are applying natural language processing to transform clinical documentation into structured data, for use in clinical surveillance or prediction applications.
When attending virtual events, to claim and qualify for the required CPD hours, Professional Year students need to attend the online event in its entirety, which will be tracked by the ACS events team. Please ensure you don't minimise your window when attending a virtual event.
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Please allow up to 2 weeks for CPD hours to be allocated to your membership profile. The presentation hand out won't be provided post-event, but a recording will be available on our website.
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Speakers
Karin is a computer scientist with expertise in the use of artificial intelligence methods to enable biological discovery and clinical decision support.
Karin held previous posts as Director of Health Technologies and Deputy Head of the School of Computing and Information Systems at the University of Melbourne, as the Scientific Director of Health and Life Sciences at NICTA Victoria Research Laboratory, at the University of Colorado School of Medicine, at Los Alamos National Laboratory, and in Tech startups in the USA.
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