Colloquia Archive
2022 - 2023
Combining Technology and Medicine - Just Not How I Expected
Adjunct Professor, MED/BMIR
Stanford University
Career pathway: From Social Sciences to Medicine and Back Again
Clinical Assistant Professor of Medicine, MED/BMIR
Stanford University
Opportunistic Disease Prediction using Already-Acquired Medical Imaging and Deep Learning
Associate Professor (Research) of Radiology (Integrative Biomedical Imaging Informatics)
Stanford University
Diagnostic Stewardship
Professor of Epidemiology and Infectious Disease
University of Maryland School of Medicine
A Formal Model and Efficient Algorithm for Temporal Pattern Matching in Clinical Decision-Support Queries and Biomedical Data Labeling and Curation
Principal consultant at Sujansky & Associates, LLC, and Adjunct Professor, Department of Medicine (BMIR)
Stanford University
Enabling Next Generation Informatics Tools at the Department of Veterans Affairs
Assistant Professor in the Department of Medicine, Division of Immunology and Rheumatology
Stanford University
Lessons Learned Over a Career in Medical Care and Management Roles, Clinical Informatics, and Health Services Research
Professor of Health Policy and, by courtesy, of Medicine (BMIR)
Stanford University
Delivering Compelling Talks: Why, What, and How?
Assistant Professor of Medicine (BMIR)
Stanford University
Realizing the Promise of Foundation Models in Healthcare
Speakers: Jason Fries (Computer Scientist at Stanford University’s Center for Biomedical Informatics Research) and Ethan Steinberg (Ph.D. student in Computer Science at Stanford University)
Climate Health Informatics
Speaker: Chethan Sarabu, MD.
Clinical Assistant Professor of Pediatrics at Stanford Medicine and Director of Clinical Informatics at Sharecare
A Magician-Scientist's Perspective on How to Do Better Science
Speaker: Parag Mallick, PhD
Associate Professor of Radiology
Canary Center at Stanford for Cancer Early Detection
ChatGPT Implications for Medical Education, Knoledge and Practice Panel/Forum Discussion
Panel Speakers: Dr. Preetha Basaviah (SU), Alicia A DiGiammarino (SU), Dr. Jason Hom (SU), Dr. Ron Li (SU), Dr. Eric Strong (SU)
The Pandora’s box of ChatGPT and related AI technology has suddenly been unleashed on the world, leaving many stunned with questions about its potential impact and how to respond to it. The use of ChatGPT by the general public, including students, continues to rise at an unprecedented pace, being used for all imaginable and many unimaginable purposes. When such a freely available tool can pass medical licensing and clinical reasoning exams, we look to our panel of clinical educators to review what’s already known to be possible with this technology and to where the future of education and practice will change. Join us as we explore how our academic medical center must be on the leading edge of this changing world.
Adventures In Using Real-world Evidence at the Bed-side
Speaker: Nigam H. Shah, MBBS, PhD
Professor of Medicine, and of Biomedical Data Science
Chief Data Scientist, Stanford Healthcare Associate Dean for Research, School of Medicine
Associate Director, Stanford Center for Biomedical Informatics Research
Stanford University
Improving the Accuracy & Completeness of Death Data in our EHR
Speaker: Álvaro A. Álvarez
Business System Analyst
Stanford University School of Medicine
Cardiovascular Medicine as a Data Science
Speaker: Robert A. Harrington, MD
Arthur L. Bloomfield Professor of Medicine,
Professor of Health Policy (by courtesy) Chair, Department of Medicine
Stanford University School of Medicine
Protecting Privacy in Health Research Data Post-Dobbs
Speaker: Cynthia Harper, PhD
Professor of Ob/Gyn, Reproductive Sciences, School of Medicine
University of California, San Francisco, CA
From Clinical Epidemiology to Machine Learning: Meeting of Two Worlds
Speaker: Lillian Sung, PhD
Professor and Senior Scientist at The Hospital for Sick Children
University of Toronto, Ontario, Canada
Targeting Precision Medicine: Evidence from Prenatal Screening
Speaker: Liran Einav, PhD
Professor of Economics
Stanford University
Some Mysteries About Viruses and Cancer
Speaker: Raul Rabadan, Ph.D.
Professor of Biomedical Informatics, Systems Biology
Columbia University, New York City
Research Colloquium
Speaker: Roy Adams, PhD
Associate Professor of Psychiatry and Behavioral Sciences
Johns Hopkins Medicine
Talk Title: “Evaluation of TREWS, a Deployed Early Warning System for Sepsis”
Research Colloquium
Speaker: Shamim Nemati, PhD
Associate Professor of Medicine
University of California at San Diego
Talk Title: “AIVIS: Next Generation Vigilant Information Seeking Artificial Intelligence-based Predictive Models”
Research Colloquium
Speaker: Lola Falasinnu
Assistant Professor of Medicine, Immunology & Rheumatology
Stanford University
Talk Title: “The Problem of Chronic Pain in Rheumatology: Case Definitions and Phenotypes”
Research Colloquium
November 10, 2022 @ 12:00pm-1:00pm
Speaker: David Kao, MD
Medical Director, Colorado Center for Personalized Medicine Associate Professor, Departments of Medicine and Biomedical Informatics University of Colorado School of Medicine
Talk Title: “How to Get to the Point: Informatics Adventures in Personalized Heart Failure Management ”
Research Colloquium
Speaker: Purvesh Khatri, PhD
Associate Professor of Medicine and of Biomedical Data Science, Stanford University
Talk Title: “An Electronics Engineer’s Journey to Becoming a Computational Immunologist”
Research Colloquium
Speaker: Rebecca Staiger
Talk Title: “Provider Opioid Prescribing Behaviors and Opioid Use in Medicaid”
Research Colloquium
Speaker: Professor Michael Bernstein, PhD
Associate Professor of Computer Science
Stanford University
Talk Title: “Designing Artificial Intelligence to Navigate Societal Disagreement”
Research Colloquium
October 13, 2022 @ 12:00pm-1:00pm
Speaker: Rebecca Hubbard, PhD
Professor of Biostatistics
University of Pennsylvania
Talk Title: “Leveraging Modern Statistical and Machine Learning Approaches to Address Missingness in Real-World Data”
Research Colloquium
Panel Speakers: Dr. Michelle Mello (SU), Dr. Natalie Pageler (SU), Dr. Erica Cahill (SU), Dr. Ravi Akshay (UCSF), Dr. Simone Arvisais-Anhalt (UCSF), Dr. Benjamin Weia (UCSF)
Talk Title: “Data Privacy amidst Changing Abortion Law – How the Supreme Court’s Ruling Confronts How Clinical Information Systems May be Used For or Against Patients”
Contemporary medical practice is inextricably linked to health information technology. With the widespread adoption of electronic health record systems and digital apps that store and exchange massive amounts of patient data, laws like HIPAA have been in place to protect the privacy of protected health information. However, the recent Supreme Court ruling in Dobbs v Jackson Women’s Health Organization may have upended the status quo. In this session, we will highlight the widespread implications of the Dobbs decision on clinical and biomedical informatics and describe how the information technology we rely on for clinical practice and use in our daily lives could be used against patients and clinicians.
Research Colloquium
Speaker: Barbara Engelhardt, PhD
Professor of Biomedical Data Science
Stanford University
Talk Title: “Safe and personalized reinforcement learning for clinical decision making: How to handle all this biased data?”