AAHSL/GIR Nina Matheson Lecture

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Chirag Shah, PhD 

Chirag Shah is Professor of Information and Computer Science at University of Washington (UW) in Seattle. He is the Founding Director for InfoSeeking Lab and Founding Co-Director of Center for Responsibility in AI Systems & Experiences (RAISE). He works in the area of intelligent information access systems, focusing on task-oriented search, proactive recommendations, and conversational systems. He is also engaged in work with generative AI, specifically in information access using large language models (LLMs). In addition to creating AI-driven information access systems that provide more personalized reactive and proactive recommendations, he is also focusing on making such systems transparent, fair, and free of biases.

Shah is a Distinguished Member of Association of Computing Machinery (ACM) as well as Association for Information Science & Technology (ASIS&T). He has published nearly 200 peer-reviewed articles and authored seven books, including text books on data science and machine learning. He also works closely with industrial research labs on cutting-edge problems, typically as a visiting researcher. The most recent engagements included Amazon, Getty Images, Microsoft Research, and Spotify.

AI Hopes, Hypes, and Horrors: How Do We Do this Right?


Dexter Hadley, MD, PhD

Dexter Hadley, MD/PhD translates big data into precision medicine and digital health. His research generates, annotates, and ultimately reasons over large multi-modal data stores to develop predictive models of clinical intelligence. He earned his PhD in genomics and computational biology while at medical school at University of Pennsylvania, and he trained in clinical pathology while at residency at Stanford. He first became faculty at University of California San Francisco where he won various grant funding for developing deep learning methods in medicine including over $5M from NIH. His contributions have yielded well over 60 peer-reviewed publications in precision medicine to develop novel interventions, identify novel biomarkers and potential therapeutics for disease. He has been giving invited lectures around the globe on leveraging AI/ML in clinical applications. Dr. Hadley is the Founding Chief of Artificial Intelligence at University of Central Florida, College of Medicine where he is building a community of patients, clinicians, and data scientists to turn his vision for Community Driven AI into reality.

How Artificial Intelligence is Changing the Face of Medicine: From Education to Practice



Kevin B. Johnson, MD, MS is a Professor and Chair of Biomedical Informatics, with a joint appointment in the Department of Pediatrics at Vanderbilt University Medical Center. He received his MD from Johns Hopkins Hospital in Baltimore and his MS in Medical Informatics from Stanford University. In 1992 he returned to Johns Hopkins where he served as a Pediatric Chief Resident. He was a member of the faculty in both Pediatrics and Biomedical Information Sciences at Johns Hopkins until 2002, when he was recruited to Vanderbilt University. He also is a board certified Pediatrician.

Dr. Johnson is an internationally-respected developer and evaluator of clinical information technology. His research interests have been related to developing and encouraging the adoption of clinical information systems to improve patient safety and compliance with practice guidelines.  He is widely known for his work with e-prescribing and computer-based documentation, as well as his recent creative endeavors to communicate science to lay audiences, including a feature length documentary about health information exchange.

He is the author of over 150 publications and books or book chapters,  and has won dozens of awards over his career.  Notably, he was elected into the American College of Medical Informatics in 2004, The Academic Pediatric Society in 2010, and the National Academy of Medicine (Institute of Medicine) in 2010.

Findings, Truth and Trust:  What do Information Specialists Need to Do to Meaningfully Communicate Science?


Cassidy R. Sugimoto, MSLS, PhD

Cassidy Sugimoto is Professor of Informatics at the School of Informatics, Computing, and Engineering at Indiana University Bloomington. She is also currently serving a rotation with the National Science Foundation as the Program Director for the Science of Science and Innovation Policy (SciSIP) program. Sugimoto's research expertise is broadly situated in the domains of science policy, scholarly communication, and scientometrics. Simply speaking, she investigates the ways in which knowledge is produced, disseminated, and rewarded, with a particular interest in issues of diversity and inclusion. She is interested in broad dissemination and accessibility of her own research.

To this end, she has edited and authored several books, the most recent of which--Measuring Research: What everyone needs to know--is a primer for those new to scientometrics. Her publication record is extensive and varied--including publication venues such as NatureThe LancetPLOS ONESocial Studies of ScienceJASIST, and Scientometrics. She regularly presents across the globe and her work is regularly covered by major press outlets, such as NatureScienceThe EconomistThe New York Times, and The Guardian. Her work has been supported by the National Science Foundation, the Institute for Museum and Library Services, and the Sloan Foundation. Sugimoto is actively involved in teaching and service and has been recognized in these areas with an Indiana University Trustees Teaching award and a national service award from the Association for Information Science and Technology. She is currently serving as President of the International Society for Scientometrics and Informetrics. Sugimoto has an undergraduate degree in music performance, an MS in library science, and a PhD in information and library science, all from the University of North Carolina at Chapel Hill.

Towards A More Equitable Opening of Science


Carla Pugh, MD, PhD

Dr. Pugh is Professor of Surgery at Stanford University School of Medicine and the Director of the Technology Enabled Clinical Improvement (T.E.C.I.) Center. Dr. Pugh obtained her undergraduate degree at U.C. Berkeley in Neurobiology and her medical degree at Howard University School of Medicine. She is the first surgeon in the United States to obtain a PhD in Education. Her research involves the use of simulation and advanced engineering technologies to develop new approaches for assessing and defining competency in clinical procedural skills. Dr. Pugh holds three patents on the use of sensor and data acquisition technology to measure and characterize hands-on clinical skills.

The Quantified MD Project: Precision Learning Through Wearable Technology


Atul Butte, MD, PhD

Dr. Butte is the Priscilla Chan and Mark Zuckerberg Distinguished Professor and inaugural Director of the Institute for Computational Health Sciences at the University of California, San Francisco (UCSF). He is also the Chief Data Scientist for the entire University of California Health System.

Translating a Trillion Points of Data into Therapies, Diagnostics, and New Insights into Disease


John Wilbanks, Chief Commons Officer at Sage Bionetworks

John Wilbanks has spent his career working to advance open content, open data, and open innovation systems. 

The key focus of his talk will be on data curation in the context of the rapid development of both extensive algorithms, data systems, and knowledge without the accompanying preservation infrastructure.


Patricia Flatley Brennan, RN, PhD

Dr. Brennan began her service as director of the National Library of Medicine on August 15, 2016. She is the first woman and the first nurse to serve in that role.


Philip E. Bourne, PhD

Dr. Bourne is the Associate Director for Data Science, National Institutes of Health. 

A Successful Academic Medical Center Must be a Truly Digital Enterprise


Richard Platt, MD, MSc

Dr. Platt is a Professor and Chair of the Department of Population Medicine, and Executive Director of the Harvard Pilgrim Health Care Institute. He is an internist trained in infectious diseases and epidemiology.

Clinical Research Data Networks - On a Clear Day You Can See the Learning Health System.


Molly Cooke, MD, FACP 

William G. Irwin Endowed Chair Director of Education for Global Health Sciences Professor of Medicine, University of California, San Francisco

Data and the Human Touch:  Implications of the Information Explosion for Medical Education


Thomas R. Cech, PhD. 

Director, University of Colorado Biofrontiers Institute, Nobel Laureate (1989), and Former President, Howard Hughes Medical Institute.

Drinking from a Fire Hose: the new Challenges of Biomedical Data


David Davis, M.D.

Senior Director, Continuing Education and Performance Improvement, AAMC

Washington, D.C.

Scaling the Knowledge Pyramid: The Shared Role of the Clinician, Educator, and Librarian


Charles P. Friedman, Ph.D., Deputy National Coordinator /Chief Scientific Officer, Office of the National Coordinator of Health Information Technology

Electronic Health Records: How to get there from here


Nancy Lorenzi, Ph.D., M.A., Assistant Vice Chancellor, Vanderbilt University

Roles for the Library in Information Management: The Next Twenty-five Years


Peter Morville, president, Semantic Studios, Ann Arbor, MI

Ambient Findability: Challenges for Health Sciences


William Hersh, Chair, Dept. of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University

Informatics Competencies for an Informed Healthcare Workforce


Elias Zerhouni, MD, Director of NIH

NIH: Advancing Science in the 21st Century


John Halamka, CIO, Harvard Medical School

A Pragmatic Shift in Clinical Information Systems: Clinical Infrastructure for the 21st Century


Drummond Rennie, MD. Deputy Editor of JAMA

The Integrity of the Biomedical Literature


Mark Kirschner, PhD, Chair, Dept. of Cell Biology, Harvard Medical School

Entrusting Publication to ‘For Profit’ Journals: The Benefits and Hidden Costs


Kenneth Shine, MD., President, Institute of Medicine

The Quality Gap: Achieving High Quality Care for All Americans


Richard Katz, VP, EDUCAUSE

Dancing with the Devil: Information Technology and the New Competition in Higher Education


Sir John Daniel, Vice President, Open University

Distance Learning and Medical Education


David Warner, M.D. Director, Institute for Interventional Informatics

Communication Age Medical Education systems: New Ways of Thinking, New Tools of Working, New Methods of Healing


George Lundberg, Editor, JAMA

The Impact of Electronic Publishing


Lawrence Weed, MD, Founder, PKC Corp., Professor Emeritus, University of Vermont

New Premises and New Tools for Medical Education and Practice


Scott Bennett, Yale University Librarian

Reengineering Scholarly Communication


Daniel Atkins, Dean & Professor, School of Information & Library Studies, University of Michigan

Frameworks for the Future: Digital Libraries, Collaboratories, and Knowledge Management Models