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I.AIM Past Events

The mission of the Institute for Artificial Intelligence in Medicine is to bridge computational methods with human expertise to advance medical science and improve human health. To support this endeavor, we record a number of workshops and seminars and maintain this archive of video and presentations for those who could not attend or those who want to refer back



 Using Raw Audit Logs to Measure Physician Workload, Cognitive Burden, and Burnout 05.04.2023

Dr. Kannampallil discusses the use of raw audit logs—trails of clinicians’ click stream activities on an EHR—to measure physician workload, cognitive burden and burnout using a combination of statistical and machine learning approaches. In a series of studies, his team developed data pipelines and open-source tools for translating raw clickstream data into meaningful EHR use metrics that were used for (a) assessing workload, (b) creating objective measures of errors, and (c) assessing the relationship between workload (and cognitive burden) on errors. He also described new directions for research using audit logs including novel mathematical and machine learning techniques to characterize tasks, measuring interactive communication (using Epic SecureChat), and comparing audit log-based workload measures and reimbursements.



Speaker: Thomas Kannampallil, PhD
Associate Professor of Anesthesiology Washington University School of Medicine


 Revealing Hidden Biases in Face Representation via Deceptively Simple Tasks 02.02.2023

Stefan Uddenberg, PhD, presents on his research, which demonstrates how basic mechanisms of perception and memory are specialized in deep and unexpected ways for the processing of social information (such as race, gender, or perceived trustworthiness). The research uses a variety of methods, but most recently innovations in deep learning have been used to model what we think of faces with an eye to reducing appearance-based discrimination and achieving fair outcomes in society.


Speaker: Stefan Uddenberg
Principal Researcher; University of Chicago Booth School of Business

 Augmenting Postoperative Transitions of Care 04.13.2023


Joanna Abraham, PhD, discusses her ongoing research on postoperative patient care transitions. Informed by contextual inquiry approaches and mixed methods, she conducted a series of studies to investigate the current operating room to intensive care unit handoff workflow and to develop design requirements for a socio-technical handoff tool. Dr. Abraham will discuss the planned trial and new directions for safety research in postoperative care. Dr. Abraham is an Associate Professor of Anesthesiology and the Institute for Informatics at Washington University School of Medicine. Her research interests in clinical informatics lie at the intersection of computer science, social and organizational sciences, and implementation science.


Speaker: Joanna Abraham, PhD, FACMI, FAMIA
Associate Professor Department of Anesthesiology Institute for Informatics Washington University School of Medicine


 2023 3C-AI4H Bowl Education Series

In this series we hear from world-class speakers on thought-provoking healthcare topics related to AI, computer science, ethics, and more. The series leads entrepreneurs through considerations to help jump start ideas, address social determinants of health, and ultimately improve healthcare. 



Speakers: Ryan Howells, Ruby Sattar, Kelly Michelson, Faith Summersett Williams, Viet Nguyen, Steven Collens, Nick Phillips, Yuan Zhang
Associate Professor UBC, UCSF

 2023 3C-AI4H Bowl Final Competition

Multi-disciplinary teams identify problems, pitch a creative solution, and present their proof of concept. Team proposals could include risk prediction, imaging analysis, augmented decision making, or mitigating bias. The top three teams will win prizes. 

Participating University Teams: University of Illinois at Champaign-Urbana, Penn State, Case Western Reserve, University of Pittsburgh- Carnegie Mellon, University of Wisconsin- Madison