AI in Academic Medicine Webinar Series
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With artificial intelligence (AI) offering so many opportunities across academic medicine, the AAMC is convening and connecting our community. This free webinar series will share strategies and exemplars in the field to help grow your knowledge and advance your practice.
This learning series will explore critical concepts, the current landscape, and practical strategies drawn from various perspectives and institutions to support you in navigating the evolving world of AI in academic medicine. Sessions will feature resources and best practices that you can apply across various settings, as well as time for Q&A with the featured speakers.
This series includes one webinar a month through August of 2024. When you register, we will notify you as we add each new offering. If you register, and can't attend the live webinar, you will have access to the archive recording.
"AI in Medical Education: Using the Missions of Medical Education as a Guide"
January 23 at 3 pm ET
Join us to equip yourself with the insights and tools needed to position yourself knowledgeably in conversations regarding AI’s place in medical education. Using the missions of medical education as our guide, we’ll navigate its opportunities throughout the continuum of medical education.
“Building Trust & Transparency in the Age of AI: Behind the Data Curtain”
February 28 at 3 pm ET
AI models are reliant upon the data that trains and fuels them. It is important for issues around data management, governance and ethics to be considered in any decision about utilizing AI. Panelists will share how they are addressing concerns about the utilization of AI tools, by highlighting best practices and sharing practical examples on how to leverage the tools and support innovation while also protecting learner and patient data, addressing bias and building strong data governance policies and procedures.
“Artificial Intelligence and Healthcare Delivery: Navigating the Clinical Reality and Expectations”
March 26 at 3 pm ET
In this session, panelists will explore the utilization of AI in the clinical space and the importance of preparing the future generation of physicians, who will navigate a healthcare landscape where AI is even more integrated than today. Our discussion will also explore what level of AI awareness and experience program directors and DIOs are expecting their new residents to begin their graduate medical education.
“Utilizing AI for the Medical Education Classroom”
April 30 at 3 pm ET
AI is transforming medical education, with applications as an active tool within the classroom, as well as for curriculum development, assessment, study tools, communication skills development and much more. During this session, panelists will explore emerging applications of AI that impact the classroom, including the development and delivery of curriculum and the assessment of learning. Examples will be shared from varying perspectives and institutions, including content creation, study tools, communication development, and use of AI for methodologies such as case-based learning and simulation. We’ll also examine the possibility of AI-driven assessment technologies, shedding light on practical uses and where they have potential in the comprehensive evaluation of both students and components of educational programs.
“AI in Medical Education: Faculty as Learners and Educators”
May 22 at 3 pm ET
Utilization of AI in the classroom hinges on knowledgeable faculty and staff. This webinar focuses on the important role and practical implementation of faculty development around essential understandings of emergent AI’s tools and capabilities in this rapidly changing environment. Panelists will share practical examples of how they are educating faculty about institutional decisions related to the incorporation of AI, ensuring they are well-informed and equipped to utilize AI tools, and guide learners and patients effectively in this evolving educational and clinical environment.
“A Disruptive Connector: Learning & Experimenting with Generative AI Together”
June 11 @ 12 pm ET
In this webinar, participants will learn how collaborators from Mayo Clinic and Karolinska Institutet worked together to provide an opportunity for international medical educators to learn with and from one another about generative AI while using generative AI in a supportive, inclusive environment. They leveraged experiential learning to foster digital mindsets and adaptive expertise while wrestling with non-linear, complex challenges facing medical education. More than 450 colleagues from over 30 different geographical locations registered for the event; many of whom participated in one or more of the three synchronous virtual sessions. A dynamic resource rich website was created to encourage continuous engagement and co-construction of knowledge and skills beyond the 24 hours of the event.
“Leveraging AI to Support Operational Functions”
June 25 @ 2 pm ET
Emerging technologies have the potential to support more than teaching and learning or clinical care, including creating efficiencies for everyday tasks, improving workflows, reducing cognitive load and weeding out redundant tasks or information. As AI is leveraged across schools, this webinar will explore how institutions are implementing AI behind the scenes to support administration, business decisions, and more.
“AI for Medical School Admissions”
July 30 @ 3 pm ET
The use of AI in medical school admissions and residency selection is a complex and dynamic topic of significant interest to the medical education community. Given the immense care and intentionality schools rightfully invest in this area, considerable thought and evaluation of any incorporated tools must be taken. In this session, we will explore how several institutions are thinking about the impact AI may have on programs and how, or if, they might seek to utilize it.
“Leveraging AI for Research & Innovation”
August 27 @ 3 pm ET
Panelists will share their knowledge and experiences on integrating AI into various aspects of research and innovation. Attendees will gain a deeper understanding of how AI can enhance data analysis, improve learning outcomes, and foster innovative solutions to complex challenges in the healthcare sector. Each presenter will provide unique insights and practical examples of AI applications in their respective fields, offering valuable perspectives on the future of AI-enabled research. Discover how these advancements might be harnessed to drive innovation and excellence in your own organization.
“The Use of Artificial Intelligence (AI) Tools in the Scholarly Publishing Process: Considerations and Practical Suggestions for Scholars”
September 10 @ 1 pm ET
TAI is changing scholarly publishing. In this webinar, speakers with experience as researchers and publishers will address the opportunities and challenges that AI affords to scholars and the scholarly publishing process.
“Building AI Partnerships Across Medicine, Industry & Government”
September 24 @ 3 pm ET
This panel webinar will provide a practical approach to creating AI focused partnerships, including advice, lessons learned, and best practices. Specific examples of how various sized institutions have developed collaborations with industry and government partners to harness the power of AI in medicine will be shared by each panelist, including questions for other institutions to consider when thinking about entering their own partnerships.
“Artificial Intelligence In and For Medical Education”
October 31 @ 3 pm ET
During this session, national leaders from the AAMC and the AMA will discuss the implications of artificial intelligence on how we work in medical education and what we expect of our learners in this evolving landscape. Join us to consider this new revolution, discuss current challenges, and future opportunities for AI in medical education.
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Contains 2 Component(s) Includes a Live Web Event on 10/31/2024 at 3:00 PM (EDT)
During this session, national leaders from the AAMC and the AMA will discuss the implications of artificial intelligence on how we work in medical education and what we expect of our learners in this evolving landscape. Join us to consider this new revolution, discuss current challenges, and future opportunities for AI in medical education.
AI is transforming the practice of medicine and education in myriad ways. Advances in AI are impacting not only how we work in medical education, but also what learner competencies we teach and assess – students, residents, faculty. During this session, national leaders from the AAMC and the AMA will discuss the implications of artificial intelligence on how we work in medical education and what we expect of our learners in this evolving landscape. Join us to consider this new revolution, discuss current challenges, and future opportunities for AI in medical education.
Session Objectives:
1. Describe the urgency to include training about AI in all medical education programs
2. Discuss physician competencies in AI needed for today and tomorrow
3. Define Precision Education
4. Outline opportunities to leverage AI to improve the process of health professions educationLisa Howley, Ph.D., M.Ed.
Senior Director of Strategic Initiatives and Partnerships
AAMC
Lisa Howley is an Educational Psychologist in the field of medical education. As the Senior Director for Transforming Medical Education at the Association of American Medical Colleges, she leads a diverse team that supports learners and faculty, conducts research, develops and evaluates curricula. She joined the AAMC in 2016 to advance the continuum of medical education, support experiential learning, the integration of arts and humanities into educational programs, and competency based education across its member institutions and their clinical partners. Prior to joining the AAMC, she spent eight years as the Associate DIO and AVP of Medical Education and Physician Development for Carolinas HealthCare System. In that role, she led a number of medical education initiatives across the professional development continuum, including graduate medical education accreditation, as well as physician leadership development for the large integrated healthcare system. She holds an adjunct faculty appointment at the University of North Carolina Chapel Hill School of Medicine. She began her career as a member of the medical education faculty at the University of Virginia School of Medicine in the mid-1990s where she designed and led performance-based assessments and simulation-enhanced curricula. She received her Bachelor’s degree in Psychology from the University of Central Florida, and both her Master of Education and Ph.D. in Educational Psychology from the University of Virginia.
Kimberly Lomis, MD
Vice President, Medical Education Innovations
American Medical Association
Kimberly D. Lomis, MD, is Vice President for Medical Education Innovations at the American Medical Association. In that capacity, she guides the AMA ChangeMedEd® Initiative, partnering with medical schools, GME and CPD programs to impact over 30,000 medical learners across the United States. Themes of collaborative work and advocacy efforts among the institutions engaged in the initiative include competency-based medical education, training in health systems science across the continuum, value-added roles for learners, development of master adaptive learners, coaching for health professionals, promoting diversity of the physician workforce and inclusive environments, addressing learner & faculty wellbeing, advancing educational technology and AI in medical education, and change management. Dr. Lomis will oversee AMA’s Precision Education portfolio of projects leveraging data and technology to personalize and enhance medical education across the continuum.
Dr. Lomis previously served as Professor of Surgery and Associate Dean for Undergraduate Medical Education at Vanderbilt University School of Medicine, where she was charged with oversight of a major revision of the medical school curriculum and guided the implementation of a competency-based assessment program. Dr. Lomis also served the Association of American Medical Colleges as the Associate Project Director for the national pilot of the Core EPAs for Entering Residency and was active in the AAMC Group on Educational Affairs as chair of the Section on Undergraduate Medical Education and member of the GEA steering committee.
Dr. Lomis received her B.S. from the University of Texas at Austin in 1988 and her M.D. from the University Texas Southwestern Medical School in 1992. She trained in general surgery at Vanderbilt University Medical Center from 1992-1997. She holds a graduate certificate in the Business of Medicine from Johns Hopkins and is a Harvard Macy Institute Scholar.
Alison J. Whelan, MD, FAC
Chief Academic Officer
AAMC
Alison J. Whelan, MD oversees efforts that prepare and assist deans, faculty leaders, educators, and future physicians for the challenges of 21st century academic medicine. She leads a staff that addresses critical medical school data, administrative, and operational issues; explores new models of successful mission alignment; focuses on key student and faculty issues; transforms current models of education and workforce preparation across the full continuum of medical education; and supports medical school accreditation activities.
Prior to joining the association in 2016 as Chief Medical Education Officer, Dr. Whelan served as Professor of Medicine and Pediatrics at Washington University School of Medicine in St. Louis. She held multiple education roles: course director, clerkship director, curriculum dean and ultimately was appointed the inaugural Senior Associate Dean for Education. In this role she oversaw the continuum of medical education from medical school admissions through CME.
Dr. Whelan received her bachelor’s degree from Carleton College in 1981. She earned her medical degree from Washington University in 1986 and completed her postgraduate work and residency at the former Barnes Hospital, now Barnes-Jewish Hospital. Dr. Whelan is an internist and clinical geneticist.
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Contains 2 Component(s) Recorded On: 09/24/2024
This panel webinar will provide a practical approach to creating AI focused partnerships, including advice, lessons learned, and best practices.
This panel webinar will provide a practical approach to creating AI focused partnerships, including advice, lessons learned, and best practices. Specific examples of how various sized institutions have developed collaborations with industry and government partners to harness the power of AI in medicine will be shared by each panelist, including questions for other institutions to consider when thinking about entering their own partnerships.
Jennifer Chow, MBA, MA
Director of External Engagement
Harvard Data Science Initiative
Jennifer Chow is the Director of External Engagement for the Harvard Data Science Initiative. In this role, she leads external strategy for the HDSI. She directs the HDSI’s industry relations through the HDSI Corporate Membership Program, including aligning conversations with the University Development Office, the Office of Technology Development, the Office of Sponsored Programs, and other constituents across Harvard.
Jen brings over a decade of experience in fundraising and development for major research organizations. Prior to joining the HDSI, Jen was Director of Foundation and Corporate Development for Harvard’s Office of the Vice Provost for Research, where she oversaw over $35M in new funding to the university across a broad portfolio of philanthropic gifts and sponsored research grants to faculty. She also advised University leadership on policies related to corporate and foundation partners, establishing new models for engagement.
Jen has also held roles in fundraising and development for the Harvard Faculty of Arts and Sciences, the Broad Institute of MIT and Harvard, and Dana-Farber Cancer Institute. She received her MA in Chemistry from Boston University and her MBA from the Simmons College School of Management, where she was a Forte Fellow and a member of Beta Gamma Sigma.
Jamie Fairclough, PhD, MPH, MS
Associate Dean and Professor
Roseman University College of Medicine
Dr. Jamie Fairclough is the Associate Dean, Professor, and Director of the Data Science & Engineering Unit at Roseman University College of Medicine in Las Vegas, NV, and an Adjunct Professor of Data Science at Noorda College of Osteopathic Medicine in Provo, UT. At Roseman, she leads a team that implements, leverages, and evaluates scalable data systems, cloud solutions, and artificial intelligence (AI) platforms and prototypes for the medical school. Dr. Fairclough teaches AI, machine learning, epidemiology, and biostatistics courses at the graduate level and pre-college machine learning and epidemiology/disease modeling courses as an instructor at both Stanford University and Johns Hopkins University. She has held academic medicine/pharmacy faculty positions at Florida International University, Florida State University, and Palm Beach Atlantic University, and she previously managed a statewide surveillance system for the Florida Department of Health. Dr. Fairclough received her BS, MPH, and MS degrees from the University of Florida and her PhD degree from Florida State University. She completed an NIH postdoctoral fellowship at Duke University Medical Center as well as additional graduate/postgraduate training in systems engineering (Johns Hopkins), data engineering (University of Chicago), AI and machine learning (University of Texas at Austin), AI engineering (Carnegie Mellon), healthcare AI (Harvard Medical School), business AI and digital leadership (University of Pennsylvania), and systems leadership (Stanford). Most recently, Dr. Fairclough was invited to serve on the FY25 AAMC MedBiquitous Steering Committee, the American Board of Artificial Intelligence in Healthcare, the International Advisory Committee for Artificial Intelligence, and the Royal Statistical Society (UK) AI Task Force.
Geoff Stetson, MD
CEO and Co-Founder, MedEdMentor LLC
Associate Professor of Medicine and Medical Education, University of Illinois College of Medicine
Geoff Stetson, MD, is an Associate Professor of Clinical Medicine and Medical Education at the University of Illinois Chicago (UIC) College of Medicine. Dr. Stetson went to Brown University for his undergraduate education, the University of Chicago for his MD, and UCSF for his internal medicine training with a focus on primary care for underserved and vulnerable populations. Geoff stayed on faculty at UCSF until he moved to UIC in April 2022.
Geoff has a decade of experience training others to be better teachers in clinical settings and currently serves as the Director of Clinical Faculty Development at UIC. Recently, he was selected as a Macy Faculty Scholar, a program “designed to identify and nurture the careers of promising educators in medicine and nursing.” Geoff is also the CEO and co-founder of MedEdMentor, an AI-supported platform that guides health professions educators through the fundamental steps of scholarship and research.
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Contains 2 Component(s) Recorded On: 09/10/2024
In this webinar, speakers with experience as researchers and publishers will address the opportunities and challenges that AI affords to scholars and the scholarly publishing process.
AI is changing scholarly publishing. In this webinar, speakers with experience as researchers and publishers will address the opportunities and challenges that AI affords to scholars and the scholarly publishing process. They’ll explore when and how scholars can use AI tools in writing up and publishing their research and scholarship, including considerations and practical suggestions for how to do so responsibly.
Chhavi Chauhan, PhD, ELS
Director of Scientific Outreach
American Society for Investigative Pathology
Dr. Chhavi Chauhan is Director of Scientific Outreach at the American Society for Investigative Pathology, a Program Manager for the Women in AI Accelerate & Raise Program, and serves on the boards for various mission-driven organizations in the spheres of scholarly publishing, digital pathology, AI ethics, & youth education. She is a former biomedical researcher, expert scholarly communicator, and a sought-after mentor in the fields of scientific research, scholarly publishing, and AI ethics, especially for women and those from underrepresented groups. She has gathered several awards and accolades in each of these domains. She is a thought leader, a renowned international speaker, and a strong advocate for equitable and accessible health care.
Tom Ciavarella
Head of Public Affairs and Advocacy, North America
Frontiers Media
Tom Ciavarella is the head of Public Affairs and Advocacy in North America for Frontiers, a Gold Open Access publisher working to make science open so that researchers can collaborate better and innovate faster. Tom oversees government relations in the United States and Canada and works with key stakeholders on improving science and technology policy. He is formerly manager of Publisher Relations for the Web of Science Group (part of Clarivate) and runs a consultancy that works with startups and STM publishers. He lives in Chicago.
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Contains 2 Component(s) Recorded On: 08/27/2024
Panelists will share their knowledge and experiences on integrating AI into various aspects of research and innovation. Attendees will gain a deeper understanding of how AI can enhance data analysis, improve learning outcomes, and foster innovative solutions to complex challenges in the healthcare sector.
Panelists will share their knowledge and experiences on integrating AI into various aspects of research and innovation. Attendees will gain a deeper understanding of how AI can enhance data analysis, improve learning outcomes, and foster innovative solutions to complex challenges in the healthcare sector. Each presenter will provide unique insights and practical examples of AI applications in their respective fields, offering valuable perspectives on the future of AI-enabled research. Discover how these advancements might be harnessed to drive innovation and excellence in your own organization.
Mark Cohen, MD, FACS, FSSO
Dean, Carle Illinois College of Medicine
Senior Vice President and Chief Academic Officer, Carle Health
Mark Cohen, MD, FACS, FSSO is the Dean of the Carle Illinois College of Medicine and Senior Vice President and Chief Academic Officer for Carle Health. He is a practicing surgical oncologist and endocrine surgeon and a tenured professor in the College of Medicine and the Founder Professor in the Department of Bioengineering in the Grainger School of Engineering. His research covers several areas including novel approaches to tissue engineering utilizing stem cells; creation of a novel class of anticancer drug compounds that target chaperone proteins; nanoparticle drug-delivery systems for cancer and bone regeneration; and use of mixed reality and AI/ML technologies to improve telemedicine, clinical care delivery as well as health care workforce training and education. He has been continuously funded by the NCI (NIH) for 17 years and his work has also been funded by the National Science Foundation, the Komen Foundation, the American Cancer Society, the Department of Defense, and even NASA. He has published over 135 peer reviewed manuscripts and has held multiple leadership roles in national medical and surgical societies and is a founding member of the international holomedicine association. He is also a serial entrepreneur founding 5 companies in the digital health, medical device, and medical therapeutics sectors and has mentored over 300 students and faculty on innovation projects and startups. He is the author of a textbook on Surgical Innovation in Academic Medicine published through Springer-Nature. For his work in AI and mixed reality applications in medical education he was awarded the 2019 Distinguished Faculty Award for Innovation and the 2021 Provost Award for Innovation in Education at the University of Michigan. He co-leads the collaborative NSF IUCRC Center grant focused on Medical Innovations in eXtended Reality (MIXR) between University of Maryland Research Park, University of Maryland Shock Trauma Hospital, University of Michigan, and University of Illinois along with several industry partners. He is also the founder and inaugural President of the new Global Consortium of Innovation and Engineering in Medicine, an international collaborative of over 30 medical and engineering schools around the world along with government ministries of health, regulatory agencies, and foundations and several international biotech companies coming together through the consortium as the premier collaborative global network to advance medicine through the intersection of engineering and innovation.
Florence Doo, MD, MA
Director of Innovation at the University of Maryland Medical Intelligent Imaging (UM2ii) Center
Assistant Professor in the Department of Radiology and Nuclear Medicine at the University of Maryland, Baltimore
Florence Doo, MD, MA, is the Director of Innovation at the University of Maryland Medical Intelligent Imaging (UM2ii) Center and an Assistant Professor in the Department of Radiology and Nuclear Medicine at the University of Maryland, Baltimore. She completed her radiology residency at Mount Sinai West and dual fellowships in Body Imaging at Stanford University and Informatics through the American College of Radiology (ACR). Dr. Doo’s research focuses on clinical informatics and applications of artificial intelligence (AI) to improve radiology service delivery and healthcare outcomes. She is grant-funded by AAR CERRAF, the UMMC Innovation award for a clinical LLM tool, and an NIH MHHD P50 Center sub-project grant.
Gustavo A. Patino, MD, PhD
Associate Dean for UME
Western Michigan University Homer Stryker M.D. School of Medicine
Dr. Patino received his MD and was a neurology resident in his home country of Colombia, after which he pursued doctoral and postdoctoral training in neuroscience at the University of Michigan. He has been a medical educator for the past 14 years and currently is an associate professor in the Department of Medical Education and the associate dean for undergraduate medical education at the Western Michigan University homer Stryker M.D. School of Medicine in Kalamazoo, Michigan. He serves as an assistant editor of the journal Academic Medicine and is a certified TBL consultant through the TBL-Collaborative. His research interests include neuroscience education, assessment, and the application of quantitative methods (including artificial intelligence) in research.
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Contains 2 Component(s) Recorded On: 07/30/2024
The use of AI in medical school admissions is a complex and dynamic topic of significant interest to the medical education community. Speakers from diverse institutions and in different roles related to these processes will share learnings, summarize internal discussions, and detail initiatives underway locally and nationally.
The use of AI in medical school admissions and residency selection is a complex and dynamic topic of significant interest to the medical education community. Given the immense care and intentionality schools rightfully invest in this area, considerable thought and evaluation of any incorporated tools must be taken. In this session, we will explore how several institutions are thinking about the impact AI may have on programs and how, or if, they might seek to utilize it. Speakers from diverse institutions and in different roles related to these processes will share learnings, summarize internal discussions, and detail initiatives underway locally and nationally.
Learning Objectives:
- Understand the evolving landscape of AI integration in medical school admissions and residency selection, including the motivations, challenges, and considerations guiding institutional decisions.
- Analyze the potential impacts of AI on processes within medical education institutions, exploring both the opportunities and risks associated with its implementation.
- Evaluate various perspectives and strategies employed by different institutions and stakeholders in navigating the adoption of AI tools, fostering critical thinking and informed decision-making regarding their utilization in admissions and selection.
Leila Harrison, PhD, MA, Med
Vice Dean for Admissions, Student Affairs, and Alumni Engagement
Washington State University Elson S. Floyd College of MedicineDr. Leila Harrison is the Vice Dean for Admissions, Student Affairs, and Alumni Engagement and Assistant Professor at the Washington State University Elson S. Floyd College of Medicine. She oversees efforts in these areas as well as pathways related to admissions into the College. She has held leadership roles at the regional and national levels for the Association of American Medical Colleges (AAMC) in both the Southern and Western regions through the Committee on Admissions, Enrollment Management Workgroup, and as a Holistic Review Facilitator within the Group on Student Affairs. Overall, Dr. Harrison has been involved in medical education since 2002, mostly within admissions across three public medical schools. Dr. Harrison is Latina and a first-generation college graduate and the first in her extended family to earn a PhD. Throughout her career, she has advocated tirelessly for representation and inclusion within medical education and the healthcare workforce.
Ioannis Koutroulis, MD, PhD, MBA
Associate Dean of MD Admissions
Co-Director, MD Program Clinical and Translational Research Scholarly Concentration
Associate Professor of Pediatrics, Emergency Medicine, Genomics and Precision Medicine
George Washington University School of Medicine and Health SciencesIoannis Koutroulis, MD, PhD, MBA, is the associate dean of MD admissions at George Washington University School of Medicine and Health Sciences providing overall leadership in medical student admissions and strategic direction and priorities for the admissions program. Additionally, he is the co-Director of the Clinical and Translational Research Scholarly Concentration for the MD program, an Associate Professor of pediatrics, emergency medicine, genomics and precision medicine and a practicing pediatric emergency medicine physician and an NIH-funded principal investigator. He is a widely published scientist, publishing work on sepsis, obesity, and encephalopathy in many high-impact, peer reviewed journals. His research focuses on the use of AI/ML and Natural Language Processing for early identification and treatment of pediatric sepsis. He aims to use the same technology in MD admissions for a fair and efficient selection process. He is the recipient of several research and teaching awards and a member of numerous national committees on research and medical education.
Richard N. Landers, PhD
John P. Campbell Distinguished Professor of Industrial and Organizational Psychology
University of Minnesota - Twin CitiesRichard N. Landers, PhD, is the John P. Campbell Distinguished Professor of Industrial-Organizational Psychology at the University of Minnesota and Principal Investigator of TNTLAB (Testing New Technologies in Learning, Assessment and Behavior). His academic research concerns the use of innovative technologies like artificial intelligence, machine learning, games, gamification, and virtual reality, to improve psychometric assessment, employee selection, adult learning, and research methods. He is a Fellow of the Society for Industrial and Organizational Psychology, American Psychological Association, and Association for Psychological Science. His work appears primarily in psychology and interdisciplinary human-computer interaction journals. He is the incoming editor of the American Psychological Association’s Technology, Mind, and Behavior, an interdisciplinary journal at the intersection of psychology and computer science. He is author of two textbooks and has developed two edited scholarly volumes. He has been featured in the popular press, including Forbes, Business Insider, and Popular Science.
Laurah Turner, PhD, MA
Associate Dean of Artificial Intelligence and Educational Informatics
University of Cincinnati College of MedicineDr. Laurah Turner is an Assistant Dean of Assessment and Evaluation in the Office of Medical Education and an Assistant Professor in the Department of Medical Education at the University of Cincinnati College of Medicine. Her research focuses on leveraging artificial intelligence (AI), to advance medical education assessment, personalize learning experiences, and address disparities in training. Dr. Turner's work aims to develop assessment tools and systems that provide insights into students' readiness for residency. She is dedicated to advancing and actualizing precision medical education by tailoring learning experiences to individual needs and styles. In her AI system development, Dr. Turner emphasizes interpretability, robustness, and scalable oversight to ensure the trustworthiness and adaptability of these tools.
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Contains 2 Component(s) Recorded On: 06/25/2024
As AI is leveraged across schools, this webinar will explore how institutions are implementing AI behind the scenes to support administration, business decisions, and more.
Emerging technologies have the potential to support more than teaching and learning or clinical care, including creating efficiencies for everyday tasks, improving workflows, reducing cognitive load and weeding out redundant tasks or information. As AI is leveraged across schools, this webinar will explore how institutions are implementing AI behind the scenes to support administration, business decisions, and more.
Rebecca Canino, MBA
Executive Director of Telemedicine
Johns Hopkins Health SystemJohn Morgan
IT Associate Director
Southern Illinois University School of MedicineJohn Morgan is an Associate Director of Information Technology at the Southern Illinois University School of Medicine, leading SIU’s Systems Administration team, Service Desk, and distributed technical support team. John is a 2020 graduate of the GIR Leadership Institute, a current member of the GIR Steering Committee, and hosts the GIR’s IT Operations quarterly call series.
Michael Patriarca, MBA, MS
Executive Vice Dean, School of Medicine
Vice President, UT Health RGVAhmad Rezazadeh
Manager, Network Engineering
Stanford Health CareI am currently the Manager of Network Engineering at Stanford Healthcare, where I've spent over twelve years driving innovation in the IT sector. Over the past three years, I have developed KleverNet, an IT tool designed to enhance and streamline complex IT tasks. Additionally, I've spearheaded the creation of a multi-tenant Retrieval Augmented Generation (RAG) application, utilizing both OpenAI's large language models and other local models, to facilitate document search across the organization. My work also extends to developing other AI-related applications that significantly boost the efficiency of various teams' day-to-day operations.
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Contains 2 Component(s) Recorded On: 06/11/2024
In this webinar, participants will learn how collaborators from Mayo Clinic and Karolinska Institutet worked together to provide an opportunity for international medical educators to learn with and from one another about generative AI while using generative AI in a supportive, inclusive environment.
This webinar, hosted by the Group on Information Resources (GIR), was presented as a poster at the 2024 Information Technology in Academic Medicine Conference in New Orleans. Because of its timely focus, it was chosen to be put forth as part our GIR Programming that this Group hosts throughout the year. Below is the description of what participants will learn about during this webinar, and there will be time for Q&A at the end.
Experiential learning is essential to foster a digital mindset and adaptive expertise in applying generative AI to teaching and learning. In this dynamic environment, where human and machine interactions are accelerating, we must maintain focus on collaborative intelligence and fusion skill development to facilitate building digital capabilities. Leveraging the power of technology, we can come together globally to learn from each other, seek support and collaborate through synchronous and asynchronous means.
In this webinar, participants will learn how collaborators from Mayo Clinic and Karolinska Institutet worked together to provide an opportunity for international medical educators to learn with and from one another about generative AI while using generative AI in a supportive, inclusive environment. They leveraged experiential learning to foster digital mindsets and adaptive expertise while wrestling with non-linear, complex challenges facing medical education. More than 450 colleagues from over 30 different geographical locations registered for the event; many of whom participated in one or more of the three synchronous virtual sessions. A dynamic resource rich website was created to encourage continuous engagement and co-construction of knowledge and skills beyond the 24 hours of the event.
Heather Billings, PhD, MA
Director, Faculty Development
Mayo ClinicHenrika Florén, MEd, MA
Education Developer
Karolinska InstitutetElissa Hall, EdD, MA
Director, Learning and Technology Innovation
Mayo ClinicAndrew Maunder, MSc
Educational Technologist
Karolinska InstitutetTeresa Sörö, MSc, RN
Director, Continuous Learning and Professional Development
Karolinska Institutet -
Contains 2 Component(s)
Utilization of AI in the classroom hinges on knowledgeable faculty and staff. This webinar focuses on the important role and practical implementation of faculty development around essential understandings of emergent AI’s tools and capabilities in this rapidly changing environment.
Utilization of AI in the classroom hinges on knowledgeable faculty and staff. This webinar focuses on the important role and practical implementation of faculty development around essential understandings of emergent AI’s tools and capabilities in this rapidly changing environment. Panelists will share practical examples of how they are educating faculty about institutional decisions related to the incorporation of AI, ensuring they are well-informed and equipped to utilize AI tools, and guide learners and patients effectively in this evolving educational and clinical environment.
Nathan M. Cross, MD, MS, CIIP, DABR
Associate Professor, Neuroradiology
Vice Chair of Informatics
University of WashingtonDiego Niño, MD, PhD
Associate Professor of Physiology
Department of Medical Education
University of Texas at Tyler School of MedicineDiego F. Niño, MD, PhD is an Associate Professor of Physiology in the Department of Medical Education at The University of Texas at Tyler School of Medicine in Tyler, TX. In addition to his faculty role, he serves on the USMLE Physiology and Cell Biology Test Material Development Committee for the National Board of Medical Examiners (NBME). Dr. Niño is a scholar and faculty of the Harvard Macy Institute Transforming your Teaching using Technology Course and a founding member of the International Association of Medical Science Educators (IAMSE) Artificial Intelligence subcommittee. His academic and research interests are focused on developing and implementing innovative strategies to deliver technology-enhanced educational experiences within the medical education curriculum. He focuses on advancing medical education through implementing active learning strategies, creating interactive tools that enhance student learning, incorporating educational technology and artificial intelligence.
Akshay Sood, MD, MPH
Assistant Dean, Mentoring and Faculty Retention
Interim Director, Faculty Academic Affairs
University of New Mexico School of MedicineAkshay Sood, the interim Director of Faculty Affairs at the UNM HSC, is a tenured Distinguished Professor, Regents Professor, and the founding Miners’ Colfax Medical Center Endowed Chair at the University of New Mexico’s School of Medicine. Dr. Sood received his postdoctoral fellowship in Pulmonary, Critical Care, and Occupational and Environmental Medicine at Yale University, New Haven, Connecticut.
Passionate about the role of mentoring junior faculty, he leads the UNM HSC Faculty Mentor Development Program which has been adopted by 13 institutions across seven states. He is the Assistant Dean of Mentoring and Faculty Retention at the UNM School of Medicine Office of Faculty Affairs and Career Development and past Associate Director of the Mentoring Core of the Mountain West-CTR-IN Professional Development Core. He is a national expert on faculty development and retention, with presentations at the UNM Mentoring Conference/AAMC. His current research interest is on the assessment of the institutional mentoring climate, strategies to improve underrepresented faculty retention, and innovative mentor development initiatives. He is the P.I. of a multi-institutional U01 grant on the “Effectiveness of Innovative Research Mentor Interventions among Underrepresented Minority Faculty in the Southwest (NIGMS U01GM132175-01)”.
Eric Weissman
Senior Director, Faculty and Academic Society Engagement
AAMCEric serves as senior director of faculty and academic society engagement for the Washington-based Association of American Medical Colleges (AAMC). In this role, Eric manages the day-to-day operations of the Council of Faculty and Academic Societies, or CFAS, one of the AAMC’s three governing bodies. CFAS represents the interests of medical school faculty and academic societies within the AAMC’s membership. Among key issues covered are faculty wellbeing and resilience, sexual and gender harassment, diversity in academic medicine, advancement of science and research within academic medicine, graduate medical education, faculty definition and identity, and the role and impact of medical school faculty within clinical, research, and educational settings.
Eric is also the principal writer and editor of the weekly “CFAS News” publication, which goes to more than 5,000 subscribers representing leaders in academic medicine, media, health policy.
Eric previously served for a decade as senior director of publishing services in the Communication cluster at the AAMC, overseeing the AAMC website, its creative and editorial services division, and its publishing efforts. Eric additionally has a long history in science and medical communications, having held an array of leadership positions at organizations such as Stanford School of Medicine, Veterinary Centers of America, WebMD, and other organizations focused on consumer health, medicine, and science. Eric also has worked as a writer and editor for Congressional Quarterly and Time Life Books.
Jinjie Zheng, PhD, MS, MA
Assistant Dean, Digital Technology
Morehouse School of MedicineDr. Jinjie Zheng is an Associate Professor in the Department of Medical Education and serves as the Assistant Dean for Digital Technology at Morehouse School of Medicine. She is dedicated to advancing health equity through digital learning and has been pivotal in creating innovative and effective digital learning solutions for both students and faculty. Dr. Zheng's research interests include educational technology in academic medicine, digital dissemination of health equity, and the development of medical faculty technology. Currently, she is leading the Digital Health Educator initiative at the institution, funded by the National Telecommunications and Information Administration (NTIA).
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Contains 2 Component(s) Recorded On: 04/30/2024
AI is transforming medical education, with applications as an active tool within the classroom, as well as for curriculum development, assessment, study tools, communication skills development and much more. During this session, panelists will explore emerging applications of AI that impact the classroom, including the development and delivery of curriculum and the assessment of learning.
AI is transforming medical education, with applications as an active tool within the classroom, as well as for curriculum development, assessment, study tools, communication skills development and much more. During this session, panelists will explore emerging applications of AI that impact the classroom, including the development and delivery of curriculum and the assessment of learning. Examples will be shared from varying perspectives and institutions, including content creation, study tools, communication development, and use of AI for methodologies such as case-based learning and simulation. We’ll also examine the possibility of AI-driven assessment technologies, shedding light on practical uses and where they have potential in the comprehensive evaluation of both students and components of educational programs.
Latha Chandran, MD, MPH, MBA
Executive Dean for Education and Policy Founding Chair, Department of Medical Education, University of Miami Miller School of Medicine
Dr. Latha Chandran is the Executive Dean and the Founding Chair of the Department of Medical Education at the University of Miami Miller School of Medicine. Nationally, she served as past President of the Academic Pediatric Association and as past Vice Chair of the National Board of Medical Examiners.
Dr. Chandran received her medical degree from Trivandrum Medical College in India, her MPH from Johns Hopkins University, and her MBA from the University of Miami. She served in various leadership roles at Renaissance School of Medicine Stony Brook University, most recently as the Vice Dean for Academic and Faculty Affairs and the Miriam and David Donoho Distinguished Teaching Professor. In addition to educational scholarship, her writings have focused on Professional Identity Formation among medical students and Humanism in Medicine. A tenured educator scholar who has received numerous teaching awards, Dr Chandran is the founding co-director of a national award-winning three-year faculty development program- the Educational Scholars Program- for junior pediatric educators. Dr Chandran’s additional areas of interest include technology and artificial intelligence in education.
Kathleen Everling, PhD
Senior Medical Educator, Office of Educational Development Adjunct, Assistant Professor of Pediatrics, University of Texas Medical Branch (UTMB) Health
Kathleen M. Everling, PhD, is an educator with experience at all levels of education, having worked in K-12 and higher education as a faculty member and administrator before transitioning to medical education. Dr. Everling received her MA in Cross-Cultural Communications from the University of Houston-Clear Lake, MEd in Educational Psychology, and PhD in Education Curriculum and Instruction from Texas A&M University. She is the medical educator responsible for the course and program evaluations for the John Sealy School of Medicine. She is the co-director of the TechTime faculty development series on technology utilization in education for the school of medicine. Dr. Everling also serves as a faculty member in UTMB’s Scholars in Education program, an 18-month faculty development program. In addition, Dr. Everling has conducted workshops and presentations at local, regional, national, and international conferences and meetings on a variety of educational topics, including incorporating AI into health professions education.
Ronald Rodriguez, MD, PhD
Professor, Henry B. & Edna S. Dielmann Memorial Professor of Urologic Science, UT Health San Antonio
Dr. Ronald Rodriguez received his BS degree in Life Sciences from the Massachusetts Institute of Technology (MIT) in 1984. He obtained his Ph.D. in Cell Biology from Baylor College of Medicine in 1990, and his MD from Baylor College of Medicine in 1992 as part of the Medical Scientist Training Program. After medical school, Dr. Rodriguez entered Johns Hopkins University School of Medicine in 1992 and completed his residency and fellowship training in 1998. He subsequently stayed on faculty at Johns Hopkins from 1999-2012. During his last seven years at Johns Hopkins, he was the program director for urology training. In January 2013, he left Johns Hopkins to become the Henry B. and Edna Smith Dielmann Memorial Professor of Urologic Science at the UTHSCSA and Chair of the Department of Urology. In 2017 he became the interim Dean for the UTHSA School of Medicine. In 2018, he developed end stage renal disease, and step down from leadership positions for health reasons. He subusequently limited his clinical duties and focused on medical education. He joined the Department of Medical Education, and initiated a program in Artificial Intelligence, culminating in the nations first dual degree program MD/MSAI. Dr. Rodriguez is a highly experienced urologic surgeon with expertise in urologic oncology, particularly focusing on prostate and kidney cancer. He is a world expert in the use of cryoablative technologies for kidney and recurrent prostate cancer. He is also an expert in the care of urologic cancer patients, including kidney, prostate, bladder, testes and adrenal cancers. He currently has limited clinical duties in urologic oncology, general office urology, hypogonadism (low testosterone), sexual dysfunction and urinary difficulties. In addition to his clinical practice, he maintains an active research laboratory with interests in the role of oxidative damage in the development of aggressive kidney cancer, immune regulation of kidney cancer, health disparities research, community outreach particularly with education of underserved students, and the use of AI as a means of augmenting medical education, medical research and clinical support.
Annelise M. Silva, MD EdM
National President, The American Medical Student Association
Annelise M. Silva is the National President of the American Medical Student Association (AMSA). She is a recent graduate of the Boonshoft School of Medicine at Wright State University and obtained her Master of Education in Curriculum and Teaching with an emphasis in general science education from the Wheelock College of Education and Human Development at Boston University. She is an alumna of the Teach for America corps in Massachusetts, a former PIER scholar of the American College of Radiology, and was the founding Vice Chair of the Young and Empowered Women’s Association. In addition to her role at AMSA, she serves on the visual abstract editorial team of RadioGraphics and is the student co-lead of the Society of Abdominal Radiology Medical Student Outreach Committee (SARMO). Annelise’s research has mostly focused on the assessment of bioimaging markers for personalized radiogenomics and the design/implementation of various radiology education pathway initiatives for medical students.
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Contains 2 Component(s) Recorded On: 03/26/2024
In this session, panelists will explore the utilization of AI in the clinical space and the importance of preparing the future generation of physicians, who will navigate a healthcare landscape where AI is even more integrated than today.
In this session, panelists will explore the utilization of AI in the clinical space and the importance of preparing the future generation of physicians, who will navigate a healthcare landscape where AI is even more integrated than today. Our discussion will also explore what level of AI awareness and experience program directors and DIOs are expecting their new residents to begin their graduate medical education. This session will encourage discussion that illuminates the changing paradigms regarding students' AI education from a postgraduate medical and clinical viewpoint, and how undergraduate medical education may need to change to keep up. This session will help contextualize these rapidly evolving possibilities within existing clinical structures and technology platforms (e.g., electronic health records).
Keith Horvath, MD
Senior Director, Clinical Transformation, AAMC
Keith A. Horvath is Sr. Director, Clinical Transformation in Health Care Affairs at the Association of American Medical Colleges. Most recently he was Director of the Cardiothoracic Surgery Research Program for the National Heart, Lung, Blood Institute at the National Institutes of Health and Chief, Cardiothoracic Surgery at Suburban Hospital, an affiliate of Johns Hopkins Medical Center. Prior to this position he was an Associate Professor of Surgery and a Program Director at Northwestern University, Chicago Illinois. Trained in general and cardiothoracic surgery at the Brigham and Women’s Hospital, Dr. Horvath is a graduate of the University of Chicago, Pritzker School of Medicine.
As Sr. Director, Clinical Transformation he works with a team dedicated to improving outcomes at academic medical centers and their affiliates across the US. This includes assisting institutions shifting to value-based care as directed via CMS/CMMI alternative payment models and bundling initiatives. He has a longstanding interest in clinical care improvement with over 20 years’ service on the Society of Thoracic Surgeons Database; Coding & Nomenclature; and Health Policy Committees. This interest extends to clinical training as he serves as the AAMC Representative to the ACGME and co-leads the AAMC Group on Resident Affairs.
Professionally, Dr. Horvath has represented the Society of Thoracic Surgeons and the American Association of Thoracic Surgeons to CMS, FDA, RUC, PEAC and Congress. A founding member of the Maryland Cardiac Surgery Quality Initiative, he has also served the Maryland Health Care Commission as a member of its Clinical Advisory Group that rewrote the legislation that governs cardiac care for the State. Additionally he has served on over 20 national committees, 10 editorial boards, and garnered over 25 million dollars in research funding.
Finally, Dr. Horvath has performed over 6,000 cardiac operations, has authored and coauthored over 280 publications and logged over 89,000 miles watching, playing and coaching soccer games
Tauhid Mahmud, MD, MPH
Dr. Mahmud serves as a preventive medicine resident at Stony Brook University, following the completion of his family medicine residency at the University of Maryland Medical Center (UMMC). He obtained his medical degree from the Albert Einstein College of Medicine and his Master of Public Health from Columbia University, with a specialization in Health Policy and Management. Dr. Mahmud played a central role in establishing the Health Justice Track at the UMMC Family & Community Medicine residency program, aimed at educating residents on health disparities, and received the Resident Teacher of the Year award in recognition of his contributions. Dr. Mahmud served as Co-chair of Communications at SAPHA, a nonprofit organization dedicated to addressing public health issues impacting the South Asian community in the US and was responsible for multi-channel media campaigns highlighting relevant public health issues. He has been appointed as an Associate Editor for AJPM Focus where he oversees clinical preventive medicine, integrative medicine, and lifestyle medicine submissions. Currently, he is pursuing a graduate certificate in clinical informatics at Stony Brook University and engaged in projects that explore the utilization of natural language processing in primary care.
Shakaib (Shak) Rehman, MD, MACP, CSH, FACH, FAMIA, FEACH
Dr. Rehman is the Chief of Education & Founding Director of Academic Practice at the Phoenix VA Healthcare Systems. He also serves as the Chair/Professor of Department of Informatics, Professor of Humanism & Internal Medicine, Chair of Admissions Committee & Graduate Medical Education Committee at the University of Arizona College of Medicine-Phoenix. He helped founded the Informatics fellowship and is a frequent speaker at the Informatics association’s meetings. He is also serving in the GRA Steering committee and the Chair of Policy & Advocacy Committee of International Association on Communication in Healthcare (EACH) and American College of Physicians (ACP) AZ Chapter. He has served as the President of the Society of General Internal Medicine Mountain Region; Vice-President of the Academy on Communications in Healthcare (ACH); & Conference Chair for the International Conference on Communication in Healthcare (ICCH). He has been awarded the Master of the American College of Physicians, Fellow of EACH, AMIA And ACH, the Alpha Omega Alpha Honor Medical Society best teacher award and Gold Humanism Honor Society award. He has received >100 teaching/mentoring awards & published hundreds of articles/book chapters.
Mary Kate Selling, MHA
Executive Director of Clinical Data and Analytics, UChicago Medicine
Mary Kate Selling, MHA, is the Executive Director of Clinical Data and Analytics. Reporting to the System CMO, her focus is on turning data into action. Her portfolio includes Data Science, Clinical Analytics & Visualization, Regulatory Reporting, Health Information Management (HIM) and Clinical Documentation Improvement (CDI). In addition, she oversees the Data and Analytics Steering Committee focused on Data Strategy and Governance. She also serves as co-chair of the Analytics Intervention Unit which provides strategic direction and operational support for all predictive and interventional models that impact patient care. In particular, the AIU has served to set standards around validation and evaluation for model bias as part of the critical process when turning on AI within the clinical setting. She has her B.S. in Clinical Laboratory Science from Marquette University and MHA from the University of Minnesota.