SESSION 408: <br/>Health data science and artificial intelligence
Track 9
| Tuesday, July 11, 2023 |
| 10:40 AM - 12:10 PM |
| C4.7 |
Overview
C4.7
Panels
Panels
Speaker
Jo Strother FAIDH CHIA
Principal Project Manager
QLD Health
Session chair
Biography
Prof Jim Cimino
Director, Informatics Institute
University of Alabama at Birmingham
Panel: Scientific hypothesis generation in clinical research: Cognition, visualisation, and evaluation
10:40 AM - 11:20 AMBiography
James Cimino is a clinical informatician, practicing internist, Professor of medicine and Director of the Informatics Institute at the University of Alabama at Birmingham. He has pioneered desiderata for biomedical ontologies, web-based clinical information systems, clinical decision support (including Inforbuttons), and clinical research information systems.
Prof Andrew Georgiou FAIDH
Professor
Macquarie University
Panel: Scientific hypothesis generation in clinical research: Cognition, visualisation, and evaluation
10:40 AM - 11:20 AMBiography
Professor at the Australian Institute of Health Innovation at Macquarie University in Australia. His research is centered around diagnostic informatics and its impact on the safety, quality, and effectiveness of patient care.
Dr Xia Jing
Associate Professor
Clemson University
Panel: Scientific hypothesis generation in clinical research: Cognition, visualisation, and evaluation
10:40 AM - 11:20 AMBiography
Xia Jing is an Associate professor at the Department of Public Health Sciences, Clemson University, SC, USA. Her research interests are knowledge representation, clinical decision support, and informatics applications supporting the clinical research process.
Prof Vimla Patel
Senior Research Scientist
The New York Academy of Medicine
Panel: Scientific hypothesis generation in clinical research: Cognition, visualisation, and evaluation
10:40 AM - 11:20 AMBiography
Professor, a cognitive scientist from the New York Academy of Medicine and Columbia University in NY. As the Director of the Center for Cognitive Studies in Medicine and Public Health, her research focuses on Cognitive Informatics with studies in medical decision-making and clinical reasoning for better and safer health information technology design.
Dr Kit Huckvale
Validitron Lead
The University of Melbourne
Panel: The pitfalls and dilemma of evaluating Artificial Intelligence (AI) applications in the healthcare settings
11:30 AM - 12:10 PMBiography
Dr Kit Huckvale, PhD, MSc, MBChB, BSc (Neurosci.) is Research Fellow at the Centre for Digital Transformation of Health at the University of Melbourne and leads development of the Validitron a new, research-informed platform for the design, development, testing and evaluation of digital health innovations.
Prof Usman Iqbal FAIDH
Adj. Associate Professor | Senior Clinical Data Consultant
Department of Health TAS
Panel: The pitfalls and dilemma of evaluating Artificial Intelligence (AI) applications in the healthcare settings
11:30 AM - 12:10 PMBiography
Associate Professor Usman Iqbal is a Senior Clinical Data Consultant at the Department of Health, Tasmanian State Government, Australia. He is an Adjunct Associate Professor at Faculty of Medicine and Health, University of New South Wales (UNSW), Sydney, Australia and Visiting Associate Professor and Digital Health Consultant at Taipei Medical University, Taiwan.
He is a Fellow of Australasian Institute of Digital Health (FAIDH), International Society for Quality in Healthcare (FISQua) and associate fellow of the Australasian College of Health Service Management (AFHSM). He has led and co-founded the Taiwan’s Observational Health Data Science and Informatics (OHDSI) chapter and served as Committee Member for Standing Committee on Practice and Standards at the International Health Literacy Association (IHLA). He holds the position of Associate Editor for International Journal for Quality in Health Care, Computer Methods and Programs in Biomedicine, and BMJ Healthcare and Informatics.
Usman’s research areas include Digital Health, Global Health Informatics, Health Care Quality and Management, Health Information Technology to improve the Quality of Care and Patient Safety, and Artificial Intelligence in Healthcare.
Prof Yu-Chuan (Jack) Li
President
IMIA
Panel: The pitfalls and dilemma of evaluating Artificial Intelligence (AI) applications in the healthcare settings
11:30 AM - 12:10 PMBiography
Professor Yu-Chuan Jack Li, MD, PhD, FACMI, FIAHSI, top 2% scientist in the world, is a pioneer of artificial intelligence in medicine and translational biomedical informatics. He has also been deeply involved in international collaborations for biomedical informatics development in Asia, America, Europe, and Africa.
Prof Vimla Patel
Senior Research Scientist
The New York Academy of Medicine
Panel: The pitfalls and dilemma of evaluating Artificial Intelligence (AI) applications in the healthcare settings
11:30 AM - 12:10 PMBiography
Professor, a cognitive scientist from the New York Academy of Medicine and Columbia University in NY. As the Director of the Center for Cognitive Studies in Medicine and Public Health, her research focuses on Cognitive Informatics with studies in medical decision-making and clinical reasoning for better and safer health information technology design.
Dr Edward Shortliffe
Chair Emeritus & Adjunct Professor
Columbia University
Panel: The pitfalls and dilemma of evaluating Artificial Intelligence (AI) applications in the healthcare settings
11:30 AM - 12:10 PMBiography
Prof Edward H. (Ted) Shortliffe, MD, PhD, MACP, FACMI, FIAHSI is Chair Emeritus and Adjunct Professor in the Department of Biomedical Informatics at Columbia University’s Vagelos College of Physicians and Surgeons. He is also Adjunct Professor of Biomedical Informatics in the College of Health Solutions at Arizona State University and Adjunct Professor of Population Health Sciences (Health Informatics) at Weill Cornell Medical College. Previously he served as President and Chief Executive Officer of the American Medical Informatics Association. He has also held academic appointments at the University of Texas Health Sciences Center in Houston, and the University of Arizona.