SESSION 512: <br/>Solving healthcare’s pressing challenges

Track 13
Wednesday, July 12, 2023
11:10 AM - 12:40 PM
C3.3

Overview

C3.3
Panel


Details

Panel: Can AI bring the global community together to fulfil a shortage of evidence?

Recent advances in real-world data standards, interoperability and healthcare systems research are finally making it possible for AI to be introduced to healthcare in meaningful, practical applications. Evidence can now be harvested from the scientific literature, EHR and other sources. To be of value, evidence needs to be portable from the site it was generated to the site of it being used. Mature open standards (eg. FHIR, OMOP) facilitate collaboration that leads to reproducibility and portability. Ultimately, innovation and practice can exploit evidence in its portable/computable form. This panel will review the impact that these advances have on healthcare.

Learning objectives:
  • Obtain a broad understanding of how various technologies combine to improve healthcare quality
  • Identify opportunities to participate in solving this complex and important problem
  • Learn original ways that AI can be applied in healthcare
  • Understand the uses of different data standards and relationships between them


Speaker

Agenda Item Image
Guy Tsafnat FAIDH
Chief Scientific Officer
Evidentli

Session chair

Biography

Guy Tsafnat, PhD, is Founder and Chief Scientist of Evidentli Pty Ltd., a RWE technology company. Dr Tsafnat has been researching and building AI in digital health for over 15 years, in particular in the automation of evidence production in several modalities such as observational studies, clinical trials and systematic reviews. He is a co-chair of the HL7/FHIR and OMOP data model harmonization working group and a fellow of the Australasian Institute of Digital Health.
Agenda Item Image
Prof Enrico Coiera FAIDH
Director
Australian Institute of Health Innovation

Panel: Can AI bring the global community together to fulfil a shortage of evidence?

11:10 AM - 12:40 PM

Biography

Professor Enrico Coiera has been working at the intersection of information technology and healthcare for over three decades. Trained in medicine and with a computer science PhD in Artificial Intelligence, he still leads this field. He is the founding Professor in Medical Informatics at Macquarie University and the founding Director of The Centre for Health Informatics (CHI), which was established at UNSW in 1998 and is now based at Macquarie University. CHI is the longest running biomedical and health informatics academic research group in Australia. He is also the Director of the NHMRC Centre of Research Excellence in Digital Health and founder of the Australian Alliance for Artificial Intelligence in Healthcare (AAAiH).
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Prof Charles Friedman
Chair, Department of Learning Health Sciences
University of Michigan

Panel: Can AI bring the global community together to fulfil a shortage of evidence?

11:10 AM - 12:40 PM

Biography

Charles Friedman has focused his recent academic interests and activities on the concept of Learning Health Systems, socio-technical infrastructure for learning systems, and information system evaluation. He is editor-in-chief of the open-access journal Learning Health Systems and co-chair of the movement to Mobilize Computable Biomedical Knowledge.
Agenda Item Image
Guy Tsafnat FAIDH
Chief Scientific Officer
Evidentli

Panel: Can AI bring the global community together to fulfil a shortage of evidence?

11:10 AM - 12:40 PM

Biography

Guy Tsafnat, PhD, is Founder and Chief Scientist of Evidentli Pty Ltd., a RWE technology company. Dr Tsafnat has been researching and building AI in digital health for over 15 years, in particular in the automation of evidence production in several modalities such as observational studies, clinical trials and systematic reviews. He is a co-chair of the HL7/FHIR and OMOP data model harmonization working group and a fellow of the Australasian Institute of Digital Health.
Agenda Item Image
Prof Karin Verspoor FAIDH
Dean, School of Computing Technologies
RMIT University

Panel: Can AI bring the global community together to fulfil a shortage of evidence?

11:10 AM - 12:40 PM

Biography

Professor Karin Verspoor is Dean of the School of Computing Technologies at RMIT University in Melbourne, Australia. Karin's research primarily focuses on the use of artificial intelligence methods to enable biological discovery and clinical decision support, through extraction of information from clinical texts and the biomedical literature and machine learning-based modelling. 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, and at Los Alamos National Laboratory. She is also the Victorian Node lead and co-founder of the Australian Alliance for Artificial Intelligence in Health.

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