SESSION 500: <br/>Quality, safety and outcomes

Track 1
Wednesday, July 12, 2023
11:10 AM - 12:40 PM
Darling Harbour Theatre

Overview

Darling Harbour Theatre
Presentations


Details

The duration of each presentation is 10 minutes, with a Q&A session scheduled at the end. Please utilise the conference app to submit your questions. In case your question remains unanswered during the session, the authors may reply via the app.


Speaker

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Dr Timothy Fazio
CMIO
The Royal Melbourne Hospital

Session chair

Biography

Tim is a specialist physician and certified health informatician, currently employed in both clinical and informatics roles. Tim has many years' experience in the public health system, working in a variety of metropolitan and rural health services, as well as community mental health. His current work spans inborn errors of metabolism and general medicine at a major, metropolitan teaching hospital.
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Dr Paula Otero
Professor
Hospital Italiano de Buenos Aires

Effect of the COVID-19 lockdown on patients valuation of usability of telemedicine

11:10 AM - 11:20 AM

Presentation

Biography

MD Scientific Program Co-Chair, & Professor Department of Health Informatics, Hospital Italiano de Buenos Aires
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Dr Paula Otero
Professor
Hospital Italiano de Buenos Aires

Effectiveness, costs and satisfaction of telemedicine: Review of the current state

11:20 AM - 11:30 AM

Presentation

Biography

MD Scientific Program Co-Chair, & Professor Department of Health Informatics, Hospital Italiano de Buenos Aires
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Dr Nirvana Luckraj
Chief Medical Officer
Healthdirect Australia

Assessing the safety of a new clinical decision support system for a national helpline

11:30 AM - 11:40 AM

Presentation

Biography

Nirvana is an expert in digital health and clinical artificial intelligence with international experience in primary care. Nirvana heads up the Clinical Governance Division, which is responsible for the clinical safety and quality assurance of all Healthdirect's services and digital tools.
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Dr Katherine Kim
Principal
MITRE

Feasibility of “symptom discovery,” a longitudinal and comprehensive data collection tool during COVID-19

11:40 AM - 11:50 AM

Presentation

Biography

Dr Katherine Kim is a health informatics researcher specializing in digital health, participatory methods, and community engagement. She is Co-Director of ACTIVATE, a community-co-designed platform for equitable and sustainable digital health implemented in underserved and rural communities, and Chair of the American Medical Informatics Association Consumer Health Informatics Working Group.
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Prof Niels Peek
Professor of Health Informatics
University of Manchester

Applying team science to multidisciplinary digital health research: Learnings from the wearable clinic

11:50 AM - 12:00 PM

Biography

Niels Peek is Professor of Health Informatics at the University of Manchester. His research focuses on translational data science for clinical risk prediction, precision health, and multimorbidity. He leads the Christabel Pankhurst Institute for Health Technology Research and Innovation, a partnership of academic, healthcare, industry and public sector organisations.
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Dr Jiang Bian
Professor and Chief Data Scientist
University of Florida

Real-world effectiveness of lung cancer screening using deep learning-based counterfactual prediction

12:00 PM - 12:10 PM

Biography

Dr Bian is Professor of Biomedical Informatics at the University of Florida (UF) and the Chief Data Scientist of the UF Health system. He also serves as the Director of Cancer Informatics Shared Resource (CISR) for the UF Health Cancer Center, Associate Director of the Biomedical Informatics Program for the UF Clinical and Translational Science Institute (CTSI), and the Chief Data Scientist for the OneFlorida+ Clinical Research Consortium. He has a diverse yet strong multi-disciplinary background in data integration, semantic web, machine learning, natural language processing, social media analysis, network science, data privacy, and software engineering. Nevertheless, his research serve an overarching theme: data science with heterogeneous data, information and knowledge resources, which can be divided into: (1) data-driven medicine—applications of informatics techniques, including machine learning methods in medicine on solving big data problems; (2) mining the Internet, including the social web, to provide insights into health-related behavior and health outcomes of various populations and finding ways to develop interventions that promote public and consumer health; and (3) development of novel informatics methods, tools and systems to support clinical and clinical research activities such as tools for data integration, clinical trial generalizability assessment, and cohort discovery.
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Dr Maria Alejandra Pinero de Plaza
Research Fellow
Flinders University

A human-centered approach to measuring the impact of evidence-based online resources

12:10 PM - 12:20 PM

Presentation

Biography

Dr Pinero de Plaza is a scientist facilitating healthy living and better public health services through knowledge translation and health research. Her experience in qualitative mix-methods, experimental design, and evaluation helps her identify/demonstrate how interventions, healthcare services, and technology can provide better choice, inclusion, voice, justice, health, and well-being.
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Abdulmonem Alabdulmunim
PhD Candidate
University of Wollongong

Patients’ use of telemedicine mobile app during COVID-19 restrictions

12:20 PM - 12:30 PM

Presentation

Biography

PhD candidate at University of Wollongong, School of Computing and Information Technology. Master of Information systems, University of Melbourne.

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