Practicing with AI

Welcome to Hippo Education's Practicing with AI, conversations about medicine, AI, and the people navigating both. This month, join hosts Vicky Pittman, VP of Education and practicing PA, and Rob Taves, VP of Tech and tech expert, as they define AI, dive into how AI tech works, and provide practical tips for selecting and using AI tools.    Here are some prompt engineering guidelines we recommend using: Use clear roles: You might say something like: "You are a medical educator…  " for medical prompts.  On the other hand If you're looking for recipe advice, maybe go with "You are a world class chef". Give context: For example tell the LLM: "You're summarizing for a 2nd-year med student…", or perhaps "Target audience are doctors at a medical conference".   Ask for the format that serves you best in the response: do you want bullet points, tables, summaries, images, a slide presentation?  Don't assume the AI knows what you want Be iterative: Keep refining your prompt based on what you get back Use examples: Super easy, you can say "Similar to this: (and then include your example).  Remember that you can feed it images, documents and  websites, not just text. Visit speakpipe.com/hippoed to leave a voice message about anything related to AI and medicine: your excitement, your concerns, your own experiences with AI… anything. Your voice might even make it onto a future episode. Explore more of Hippo's audio resources at hippoed.com/audio

Welcome to Hippo Education's Practicing with AI, conversations about medicine, AI, and the people navigating both. This month, Rob and Vicky are joined by Primary Care PA and self-proclaimed early AI adopter Ashley Greer as they dive into the different scribing and administrative AI tools used in clinical practice today.  Visit speakpipe.com/hippoed to leave a voice message about anything related to AI and medicine: your excitement, your concerns, your own experiences with AI… anything. Your voice might even make it onto a future episode.

Welcome to Hippo Education's Practicing with AI, conversations about medicine, AI, and the people navigating both. This month, Vicky brings together the voices and experiences of educators from various health professions to explore how AI is reshaping the way we train healthcare professionals. How is AI showing up in the classroom and study halls? Where is it helping students and educators, and what are the potential harms? And how are leaders in health professions education thinking about the future of medical education and AI?   References: 1. https://www.cbsnews.com/news/icahn-medical-school-nyc-chagpt-ai/ 2. https://www.forbes.com/sites/robertpearl/2025/07/07/in-the-ai-revolution-medical-schools-are-falling-behind-us-colleges/     Visit speakpipe.com/hippoed to leave a voice message about anything related to AI and medicine: your excitement, your concerns, your own experiences with AI… anything. Your voice might even make it onto a future episode.

Welcome to Hippo Education's Practicing with AI, conversations about medicine, AI, and the people navigating both. This month, Rob and Vicky tackle a common pitfall of AI: hallucinations. What are hallucinations (and is that even the right term)? Why do these types of errors happen? And what can individuals do to reduce the hallucination rate? Plus, Rob and Vicky dive into OpenAI's most recent model release, ChatGPT 5, and analyze its performance against older GPT models.   For those who want to dive deeper into OpenAI's HealthBench benchmark: OpenAI's white paper on HealthBench outlines the benchmark's components and delivers performance data on older AI models. https://openai.com/index/healthbench/ Drs. Liu and Liu performed a systematic analysis and outlined HealthBench's strengths and limitations in this paper published in the Journal of Medical Systems in July 2025. Visit speakpipe.com/hippoed to leave a voice message about anything related to AI and medicine: your excitement, your concerns, your own experiences with AI… anything. Your voice might even make it onto a future episode.

Welcome to Hippo Education's Practicing with AI, conversations about medicine, AI, and the people navigating both. This month, Rob and Vicky talk with Caroline (Carrie) Hodge, a PA and the co-founder and CEO of Dimer Health. Dimer Health leverages clinical expertise and an AI-powered platform to facilitate a seamless transition for patients from hospital to home. We discuss how clinician-entrepreneurs are leveraging technology to address age-old problems in medicine.    For more information on the organizations highlighted in this episode: 1. https://www.nytimes.com/2025/03/20/well/ai-drug-repurposing.html  2.  https://thehealthcaretechnologyreport.com/how-one-key-encounter-helped-shiv-rao-create-abridge/  3. https://www.viz.ai/our-story  4.  https://www.aapa.org/news-central/2025/03/pas-transform-post-discharge-care-reduce-readmissions-with-the-support-of-ai/  Visit speakpipe.com/hippoed to leave a voice message about anything related to AI and medicine: your excitement, your concerns, your own experiences with AI… anything. Your voice might even make it onto a future episode.

Welcome to Hippo Education's Practicing with AI, conversations about medicine, AI, and the people navigating both. This month, Rob and Vicky address a common concern of clinicians when it comes to AI and medicine: bias and fairness. How might AI perpetuate health disparities that are rooted in bias? Or could AI help to mitigate bias in medicine? To learn more about this issue, Vicky interviews data journalist, author, and NYU professor Dr. Meredith Broussard on the topic of bias in technology. They explore how and why bias exists in technology and what can be done about it.    Visit speakpipe.com/hippoed to leave a voice message about anything related to AI and medicine: your excitement, your concerns, your own experiences with AI… anything. Your voice might even make it onto a future episode.    References:   1. Broussard M. More Than A Glitch: Confronting Race, Gender, and Ability Bias in Tech. The MIT Press; 2023. 2. Broussard M. Artificial Unintelligence: How Computers Misunderstand the World. The MIT Press; 2018.  3. Bhakta NR, et al. Race and Ethnicity in Pulmonary Function Test Interpretation: An Official American Thoracic Society Statement. Am J Respir Crit Care Med. 2023;207(8):978-995. PMID: 36973004 4.  Liu M, et al. Early detection of sexually transmitted infections from skin lesions with deep learning: a systematic review and meta-analysis. Lancet Digit Health. 2025;7(7):100894. PMID: 40769792 5. Rao P. SCIN: A new resource for representative dermatology images. Google Research Blog. 2024. Available at:  https://research.google/blog/scin-a-new-resource-for-representative-dermatology-images/. Accessed on September 25, 2025. 6. The Monk Skintone Scale 7. Good Machine Learning Practice for Medical Device Development: Guiding Principles. US Food & Drug Administration. 2025. Available at:  https://www.fda.gov/medical-devices/software-medical-device-samd/good-machine-learning-practice-medical-device-development-guiding-principles. Accessed on September 25, 2025.  8. Rickman S. Evaluating gender bias in large language models in long-term care. BMC Med Inform Decis Mak. 2025;25(1):274. PMID: 40784946  9. Challapally A, Pease C, Raskar R, Chari P. The GenAI Divide: State of AI in Business 2025. MIT NANDA. 2025.  https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Business_2025_Report.pdf