As Artificial Intelligence and Machine Learning continues to develop, an understanding of how these tools may be integrated for improvement in healthcare becomes an increasing priority for healthcare professionals.
Feedback from Fellows on new courses on the ISQua Fellowship programme overwhelmingly identified AI as the main topic requested to receive further learning and resources. To meet this demand, in September 2024, ISQua Education launched the new course on the Fellowship programme, Artificial Intelligence and Machine Learning in Healthcare, now available to all Fellows.
This course was developed over the course of the year in partnership with industry experts from institutions such as the Institute for Healthcare Improvement (IHI), Australian Institute for Health Innovation, Sheba Medical Center and MedStar. This course aims to introduce learners to the concepts, applications and complexities to be considered when using Artificial Intelligence (AI) and Machine Learning (ML) to improve processes and solve problems in healthcare settings.
Insights from experts was key in the development of this course, to gain their insights into the applications and implications for the use of AI and ML in healthcare. See the full list of contributors to the Fellowship course on Artificial Intelligence and Machine Learning in Healthcare below:
Prof Farah Magrabi, Macquarie University
Prof Eyal Zimlichman, Deputy Director General, Chief Transformation Officer, and Chief Innovation Officer at Sheba Medical Center
Dr Gidi Stein, MD, PhD, MedAware
Dr. Daniel Cohen
Marina Renton, IHI
Gareth (Gary) Kantor, IHI, Insight Actuaries and Consultants
Jeffrey Rakover, Director of Innovation, IHI
Angela D. Thomas, DrPH, MPH, MBA, Vice President, Healthcare Delivery Research; MedStar Health Research Institute
Danton Char, M.D., M.A.S., Associate Professor of Anaesthesiology (Paediatric), and of Medical Ethics, Stanford University
David C. Classen, MD., MS., Professor of Medicine; University of Utah School of Medicine, Salt Lake City, Utah.
Raj M. Ratwani, PhD, MedStar Health Research Institute.
Prof Mark Sujan, Professor of Safety Science, University of York. Managing Director of Human Factors Everywhere
Urmimala Sarkar, Professor of Medicine, University of California, San Francisco; Associate Director, UCSF Center for Vulnerable Populations
Amol Verma, St. Michael’s Hospital, Unity Health Toronto, Temerty Professor of AI Research and Education in Medicine, University of Toronto, co-founder GEMINI
David S. Mendelson, MD FACR | Vice Chair Radiology IT - Mount Sinai Health System
Associate Chief Medical Information Officer-Mount Sinai Doctors Faculty Practice
Professor of Diagnostic, Molecular and Interventional Radiology|Icahn School of Medicine at Mount Sinai
Windreich Dept of AI & Human Health
Co-Chair Integrating the Healthcare Enterprise (IHE)- International
Karey M. Sutton Ph.D. Scientific Director for Health Equity Research, MedStar Health Research Institute (MHRI)
Raj Ratwani, Ph.D., Vice President of Scientific Affairs, MHRI
Seth A. Krevat, MD, FACP, Senior Medical Director and Assistant Vice President, National Center for Human Factors in Healthcare, MHRI
Iris Barshak, MD, Ph.D. Head of Institute of Pathology, Sheba Medical Center
This esteemed panel of experts developed seven modules to provide comprehensive insights on:
- AI & Machine Learning in Healthcare Settings: An Introduction
- Applications of AI Tools – an overview of successful uses
- Deploying AI to Improve Quality with IHI
- Ethics, Privacy and Biases
- Identifying possible patient safety incidents and improving processes
- Making AI Work in a Messy Clinical Reality
- AI in Diagnostics, Imaging, and Monitoring
ISQua Education are excited to develop more new courses in the coming years to maintain the value and prestige of the ISQua Fellowship. We are currently planning to have our latest course, Sustainability in Healthcare, available soon to all Fellows, and hope that it will be as current, relevant and informative to our Fellows as the learnings from our AI and ML course. Learn more here.