In this episode, we talk a bit about the recent advances in large language models, also known as GPT/ChatGPT. We have two wonderful guests:
Christoph U. Lehmann, M.D., is a Professor of Pediatrics, Population and Data Sciences, and Bioinformatics at UT Southwestern, where he directs the Clinical Informatics Center. In addition, Chris was the first chair of the Examination Committee of the American Board of Preventive Medicine, Subcommittee for Clinical Informatics. Dr. Lehmann’s research focuses on improving clinical information technology and clinical decision support.
Yaa Kumah-Crystal Crystal MD, MPH, MS is an Assistant Professor of Biomedical Informatics and Pediatric Endocrinology at Vanderbilt University Medical Center. Yaa’s research focuses on studying communication and documentation in healthcare and developing strategies to improve workflow and patient care delivery. Yaa works in the Innovations Portfolio at Vanderbilt HealthIT on the development of Voice Assistant Technologies to improve the usability of the EHR through natural language communication.
Chris and Yaa bring very complementary perspectives to the topic of our future. Yaa's research focuses on how we can innovate to improve the use of technology in medicine. Chris is also internationally known as the Editor in Chief of Applied Clinical Informatics,
as well as one of the leaders in our clinical informatics board certification work. He is intimately familiar with the potential uses of this technology beyond clinical care, but, as an actively practicing neonatologist, more than holds his own when it comes to how medicine can benefit from--or be harmed by--new technologies such as AI.
We leave it to you to decide both which direction we're heading, and how we can put up the guardrails to keep us on the preferred track. And, I suspect this won't be our last discussion about AI in Medicine!----more----
By the way, in case you want to learn more about topics we brought up in this episode:
Belmont principles include autonomy
Artists and AI:
TikTok voiceover person: https://www.theverge.com/2021/9/29/22701167/bev-standing-tiktok-lawsuit-settles-text-to-speech-voice
GPT and test performance: https://www.cnn.com/2023/01/26/tech/chatgpt-passes-exams/index.html, https://www.medrxiv.org/content/10.1101/2023.03.05.23286533v1.full
Deepfake concerns:
MidJourney and bias:
Amazon AI Tool Bias: https://www.reuters.com/article/us-amazon-com-jobs-automation-insight/amazon-scraps-secret-ai-recruiting-tool-that-showed-bias-against-women-idUSKCN1MK08G
Apple credit biased against wives: https://www.wired.com/story/the-apple-card-didnt-see-genderand-thats-the-problem/
AMIA document about ethical principles around AI: https://amia.org/news-publications/amia-position-paper-details-policy-framework-aiml-driven-decision-support
AI in Medicine JAMA Viewpoint: https://pubmed.ncbi.nlm.nih.gov/36972068/
Sophia: https://en.wikipedia.org/wiki/Sophia_(robot)
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Clinical Trials: Are We Whitewashing the Data?
Getting ”Dis”ed: Battling Misinformation and Disinformation on Social Media
Reframing Minds: Combatting Medical Inequities with Data
Informatics and Health Equity - A Critical Partnership
Fixing Medical Documentation - Less ”Whine” with your Cheese!
Health Information Exchanges: Myths and Realities
Overturning Roe: The Meteor that Hit Health Care
Finding Peace in Portals
Informatics, the EHR and LGBTQ+: Another issue out of the closet!
Who, Me? My Road to Informatics
21st Century Cures: What Song are People Singing?
Clinician Burnout
Women in Healthcare: A View from their Homes
Genome-informed Care Decisions: Welcome to Cutting-edge Medicine!
21st Century Cures: Curing our Anxiety or Causing It?
Phenotyping: What Makes You Not Average?
COVID and the Hidden Data Gap
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