Informatics in the Round

著者： Kevin B. Johnson MD MS
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  • Covering topics and innovations in biomedical informatics, healthcare, medicine, science, engineering, and artificial intelligence (with the occasional musical surprise)
    Copyright 2019 All rights reserved.
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あらすじ・解説

Covering topics and innovations in biomedical informatics, healthcare, medicine, science, engineering, and artificial intelligence (with the occasional musical surprise)
Copyright 2019 All rights reserved.
数学 生物科学
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エピソード
  • AI in the Workplace: Automation, Job Replacement, and What Makes Us Human

    AI in the Workplace: Automation, Job Replacement, and What Makes Us Human
    2024/11/21

    Can AI do our jobs better than we can? Let’s test it!

    You might have noticed that this episode got off to a strange start… who were those people talking anyway? That, my friends, was Google NotebookLM’s best shot at recording this very podcast. In it, two AI-generated guests conduct an ironic “deep dive” into the topic we are discussing in this episode: whether AI will come to replace certain jobs and how it will change existing jobs in our healthcare system and beyond.

    For this episode, we had the pleasure of hosting Dr. Marylyn Ritchie, a Professor of Genetics and the Director of the Institute for Biomedical Informatics at the University of Pennsylvania Perelman School of Medicine. An expert in translational bioinformatics, her research focuses on using clinical data to discover the genetic architecture underlying common diseases like cancer and cardiovascular disease. In April, she was appointed Vice Dean of Artificial Intelligence and Computing where she works to develop and implement an AI strategy for the Penn Medicine health system.

    We also finally got a songwriter back on our guest panel. Collin Frisch is an indie-pop singer-songwriter who describes himself as “like Ed Sheeran, but less talented and better looking.” After graduating from the University of Pennsylvania in 2023, he took on the role of Creative Director at the Bridge Church near Trenton, New Jersey. We were so grateful that Collin could represent the right side of the brain in this conversation.

    Lastly, we welcomed our co-host Harris Bland back to the show!

    We turn a bit philosophical in this episode; while we discuss AI’s potential to rewire and create jobs, we also talk about the undiscovered fields of medicine where humans must still blaze the path forward. Inevitably, our conversation turned into a reflection about which characteristics AI can’t yet emulate, the very things that make us human and—for now—irreplaceable.

    Mentioned in the episode:

    -What eMERGE actually means:

    -”Will A.I. Kill Meaningless Jobs?” by Emma Goldberg, New York Times, August 2024

    -Waymo Stand-off video

    -”Swiss cheese model” coined by Dr. James Reason in “Human Error: Models and Management,” British Medical Journal, 2000.

    Songs mentioned in this episode:

    “Unwritten” by Natasha Bedingfield (2004)

    “She Bangs” by William Hung (2008) (originally performed by Ricky Martin)

    “Shake It Off” by Taylor Swift (2014)

    “Anti-Hero” by Taylor Swift (2022)

    “My Boy Only Breaks His Favorite Toys” by Taylor Swift (2024)

    “All Too Well (10 Minute Version) (Taylor’s Version) (From The Vault)” by Taylor Swift (2021)

    “Ruin Your Heart” by Collin Frisch (2021)

    Make sure to follow our Instagram, X, Threads, and TikTok accounts so you can stay up to date on all our new content. Also don't forget to follow us on X @kbjohnsonmd and @htbland21. Thanks for listening!

    Instagram: @infointhernd

    X/Twitter: @infointhernd

    Threads: @infointhernd

    TikTok: @infointhernd

    Website: https://www.kevinbjohnsonmd.net/
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    1 時間 3 分
  • A Virtuous Cycle: When Will We Finally Have Learning Health Systems?

    A Virtuous Cycle: When Will We Finally Have Learning Health Systems?
    2024/10/09
    What exactly is a “learning health system”? In several of our episodes, you’ve heard us talk about how data collection has modernized through new technologies and enhanced approaches to clinical trials. But now that we have all that data, we need to transform it into clinical practice. Learning health systems are all about completing this virtuous cycle from scientific discovery to implementation, and yet, there are few that exist and work well. In this episode, you’ll hear us discuss (and perhaps debate) what a true learning health system looks like, as well as how informatics can help lead the charge. Up first on our panel of distinguished guests is Dr. Genevieve Melton-Meaux, a Professor of Surgery and Senior Associate Dean of Health Informatics and Data Science at the University of Minnesota. Among her many accolades, she is a Past President of the American College of Medical Informatics, current President of the American Medical Informatics Association, and Director for the Center of Learning Health System Sciences at Minnesota. Her research focuses on clinical natural language processing, surgical informatics, and optimizing AI best practices. We were also joined by Dr. Chuck Friedman, a Professor of Medical Education and Chair of the Department of Learning Health Sciences at the University of Michigan Medical School. He is also the editor-in-chief of the open-access journal Learning Health Systems. Drawing from his time at the Office of the National Coordinator for Health Information Technology in the U.S. Department for Health and Human Services, he helped transform Michigan’s medical education department into one of the first in the nation to focus on learning health at all levels, including large-scale information infrastructure. Finally, we had Dr. Peter Embí, Professor and Chair of the Department of Biomedical Informatics and Senior Vice President for Research and Innovation at Vanderbilt University Medical Center. Prior, he served as President and CEO of the Regenstrief Institute, a not-for-profit health care research organization in Indianapolis, Indiana that seeks to develop, conduct, and disseminate scientific research across communities. A Past President of the American Medical Informatics Association, his research centers on data-driven learning health systems. We are also pleased to share an original learning health systems “anthem,” composed by Molly Sinderbrand, called “System Problems Need System Solutions.” In our jazzy rendition, it was performed by pianist Phil Barrison and our very own Kevin Johnson on vocals! We appreciate all their contributions and are excited to feature it at the end of this episode! Tackling a topic like this required top-notch guests, and they delivered! We hope you enjoy listening. Links mentioned in this episode: -Evaluation Methods in Biomedical and Health Informatics by Charles P. Friedman, Jeremy C. Wyatt, Joan S. Ash -“Where’s the Science in Medical Informatics?” by C.P. Friedman -Learn more about the Indiana Network for Patient Care -Patti Brennan’s Presentation referred to as “Care Between the Care”: “High-Reliability, Person-Centered Health Care Systems: It Can’t Happen Without the National Library of Medicine,” presented at GoldLab Symposium 2018 -“Creating Local Learning Health Systems: Thinking Globally, Act Locally” by William E. Smoyer, Peter J. Embí, Susan Moffatt-Bruce Make sure to follow our Instagram, Twitter, Threads, and TikTok accounts so you can stay up to date on all our new content. Also don't forget to follow us on Twitter @kbjohnsonmd. You can find us wherever you typically get your podcasts. Thanks for listening! Instagram: @infointhernd Twitter: @infointhernd Threads: @infointhernd TikTok: @infointhernd Website: https://www.kevinbjohnsonmd.net/
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    57 分
  • Chatbots in Healthcare: The Ultimate Turing Test

    Chatbots in Healthcare: The Ultimate Turing Test
    2024/08/28

    Live from the studio, it's Informatics in the Round! Okay, we aren't technically live, but we are bringing you an extra special episode from the Penn Engineering Online studio! Since all our guests are from the University of Pennsylvania, we thought we would sit down in-person to enjoy this lively discussion. Today we are talking all about chatbots and the future of generative AI in medicine. We discuss topics such as what chatbots are, whether they present the markers of true artificial intelligence, what innovations we are looking forward to, and the benefits and barriers to integrating them into our healthcare settings.

    First, we had Dr. Angela Bradbury, an Associate Professor of Medicine and a medical ethicist at the University of Pennsylvania. She is also founder of the Penn Telegenetics Program, a national program using telehealth and digital tools to increase access to genetic medicine. Her research program has been developing patient-centered digital tools, including chatbots, to address the use of genetics in medicine and a limited genetics workforce. As a medical ethicist, she is particularly interested in how we responsibly deploy digital tools and generative AI in medical practice to improve patient outcomes.

    We also had Lyle Ungar, a Professor of Computer and Information Science at Penn. He researches the psychological dimension of natural language processing and artificial intelligence. His research group of psychologists and computer scientists study what language reveals about physical and mental well-being. They are building culturally aware chatbots for mental health support and teaching "soft skills" to high school students.

    Finally, we had Chris Callison-Burch, a Professor of Computer and Information Science whose AI course at Penn has one of the highest enrollments at the university with about 750 students. His research focuses on applications of large language models to address long-standing challenges in artificial intelligence. He’s a leading expert on AI and has appeared in front of Congress as well as on many podcasts to discuss the future of generative AI and intellectual property. We are so grateful to have all these expert guests on this episode and in the room with us!

    Oh, and we had a guest star hosting this episode—Ellie Shuert, our production assistant, stepped out from behind the scenes. She is freshly graduated from the University of Pennsylvania with a degree in English and Linguistics. Her curiosity about AI and natural language processing gave our guests lots to think about, and it was so fun to let her direct an episode.

    Thank you so much to Penn Engineering Online for hosting us in your beautiful studio space! It was the perfect place to enjoy this conversation. If you are listening, we suggest maybe going over to our YouTube channel to watch us film in such a cool space!

    This is truly one of our favorite episodes of the year, and we are so excited to share it with you!

    Make sure to follow our Instagram, X, Threads, and TikTok accounts so you can stay up to date on all our new content. Also don't forget to follow us on Twitter @kbjohnsonmd. You can find us wherever you typically get your podcasts. Thanks for listening!

    Instagram: @infointhernd

    Twitter/X: @infointhernd

    Threads: @infointhernd

    TikTok: @infointhernd

    Website: https://www.kevinbjohnsonmd.net/
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    1 時間 19 分

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