National Library of Medicine | 2023 NLM Ada Lovelace Computational Health Lecture Series - Lucila Ohno-Machado, MD, MBA, PhD @NLMNIH | Uploaded October 2023 | Updated October 2024, 7 hours ago.
Title: How to Use Medical AI, Biomedical Informatics and Data Science for Health Equity
Speaker: Lucila Ohno-Machado, MD, MBA, PhD
Date: Monday, October 23, 2023
Time: 2:00 - 3:00 PM ET
Location: ZOOM - nih.zoomgov.com/j/1607621444?pwd=Q3pJR2hKUnRIdnVCUVhjcTYwZlh6dz09 (nih.zoomgov.com/j/1607621444?pwd=Q3pJR2hKUnRIdnVCUVhjcTYwZlh6dz09)
(Passcode: 454827)
Abstract:
In this presentation, Dr. Ohno-Machado will discuss the rapidly evolving field of Medical AI as a subspecialty of Biomedical Informatics & Data Science. She will provide an overview of how some AI models work, as well as the main technical, social, and ethical challenges facing the current and future generation of informaticians and data scientists. She will describe predictive modeling at a high level and how its use in precision medicine requires in-depth understanding of model appropriateness and limitations. Since AI models are only good as the data they are trained on, she will discuss how to promote health equity with these models and how to avoid common pitfalls.
Speaker Bio:
Lucila Ohno-Machado, MD, PhD, MBA, is the Deputy Dean for Biomedical Informatics and the Chair of Biomedical Informatics and Data Science at Yale University. As Deputy Dean for Biomedical Informatics, Dr. Ohno-Machado oversees the infrastructure related to biomedical informatics research across the academic health system. Long fascinated by the combination of life science and computer science, Dr. Ohno-Machado has conducted research in predictive models and data sharing since the start of her career.
Dr. Ohno-Machado was health sciences associate dean for informatics and technology, founding chief of the Division of Biomedical Informatics in the Department of Medicine, and distinguished professor of medicine at the University of California San Diego (UCSD). She also was founding chair of the UCSD Health Department of Biomedical Informatics and founding faculty of the UCSD Halicioğlu Data Science Institute in La Jolla, California. She organized the first large-scale initiative to share clinical data across five University of California medical systems and later extended it to various institutions in California and around the country. Prior to joining University of California San Diego, she was distinguished chair in biomedical informatics at Brigham and Women’s Hospital and faculty at Harvard Medical School and at MIT’s Health Sciences and Technology Division. She is an elected member of the National Academy of Medicine, the American Society for Clinical Investigation, the American Institute for Medical and Biological Engineering, the American College of Medical Informatics, and the International Academy of Health Sciences Informatics. She is a recipient of the American Medical Informatics Association leadership award, as well as the William W. Stead Award for Thought Leadership in Informatics.
Dr. Ohno-Machado received her medical degree from the University of São Paulo, Brazil; her MBA from the Escola de Administração de São Paulo, Fundação Getúlio Vargas, Brazil; and her PhD in medical information sciences and computer science at Stanford University. She has led informatics centers that were funded by various NIH initiatives and by agencies such as AHRQ, PCORI, and NSF.
Title: How to Use Medical AI, Biomedical Informatics and Data Science for Health Equity
Speaker: Lucila Ohno-Machado, MD, MBA, PhD
Date: Monday, October 23, 2023
Time: 2:00 - 3:00 PM ET
Location: ZOOM - nih.zoomgov.com/j/1607621444?pwd=Q3pJR2hKUnRIdnVCUVhjcTYwZlh6dz09 (nih.zoomgov.com/j/1607621444?pwd=Q3pJR2hKUnRIdnVCUVhjcTYwZlh6dz09)
(Passcode: 454827)
Abstract:
In this presentation, Dr. Ohno-Machado will discuss the rapidly evolving field of Medical AI as a subspecialty of Biomedical Informatics & Data Science. She will provide an overview of how some AI models work, as well as the main technical, social, and ethical challenges facing the current and future generation of informaticians and data scientists. She will describe predictive modeling at a high level and how its use in precision medicine requires in-depth understanding of model appropriateness and limitations. Since AI models are only good as the data they are trained on, she will discuss how to promote health equity with these models and how to avoid common pitfalls.
Speaker Bio:
Lucila Ohno-Machado, MD, PhD, MBA, is the Deputy Dean for Biomedical Informatics and the Chair of Biomedical Informatics and Data Science at Yale University. As Deputy Dean for Biomedical Informatics, Dr. Ohno-Machado oversees the infrastructure related to biomedical informatics research across the academic health system. Long fascinated by the combination of life science and computer science, Dr. Ohno-Machado has conducted research in predictive models and data sharing since the start of her career.
Dr. Ohno-Machado was health sciences associate dean for informatics and technology, founding chief of the Division of Biomedical Informatics in the Department of Medicine, and distinguished professor of medicine at the University of California San Diego (UCSD). She also was founding chair of the UCSD Health Department of Biomedical Informatics and founding faculty of the UCSD Halicioğlu Data Science Institute in La Jolla, California. She organized the first large-scale initiative to share clinical data across five University of California medical systems and later extended it to various institutions in California and around the country. Prior to joining University of California San Diego, she was distinguished chair in biomedical informatics at Brigham and Women’s Hospital and faculty at Harvard Medical School and at MIT’s Health Sciences and Technology Division. She is an elected member of the National Academy of Medicine, the American Society for Clinical Investigation, the American Institute for Medical and Biological Engineering, the American College of Medical Informatics, and the International Academy of Health Sciences Informatics. She is a recipient of the American Medical Informatics Association leadership award, as well as the William W. Stead Award for Thought Leadership in Informatics.
Dr. Ohno-Machado received her medical degree from the University of São Paulo, Brazil; her MBA from the Escola de Administração de São Paulo, Fundação Getúlio Vargas, Brazil; and her PhD in medical information sciences and computer science at Stanford University. She has led informatics centers that were funded by various NIH initiatives and by agencies such as AHRQ, PCORI, and NSF.
