Episode

AI in Healthcare By the Numbers

Podcast
Generative AI 101
Published
Aug 24, 2026
Duration seconds
679
Processing state
not_requested
Canonical source
https://generativeai101.podbean.com/e/ai-in-healthcare-by-the-numbers/
Audio
https://mcdn.podbean.com/mf/web/fctczeiefp5qgtzx/02Healthcare.mp3
JSON
/v1/public/podcasts/generative-ai-101-6932184/episodes/ai-in-healthcare-by-the-numbers
Markdown
/podcast/generative-ai-101-6932184/ai-in-healthcare-by-the-numbers.md

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Summary

Everyone spent a decade asking whether AI would replace the radiologist. Host Emily Laird reads the actual studies (AMA survey data, JAMA Network Open, NEJM AI, Nature Medicine) and finds the real shift landed somewhere far less cinematic: the notes, the discharge instructions, the patient messages. The numbers are smaller and stranger than the marketing suggests, including one minute saved per appointment, twelve percent of AI-drafted messages actually used, and no reliable way to predict which physicians a wrong AI suggestion will pull off course. This is what the AI hospital actually looks like, one signature at a time. 🎯 JOIN THE AI WEEKLY MEETUPS https://www.uwstout.edu/ai-weekly-meetup πŸ“© EMAIL REMINDERS FOR THE MEETUPS https://app.e2ma.net/app2/audience/signup/2101263/1779703/ πŸ’¬ CONNECT WITH EMILY LAIRD ON LINKEDIN http://www.linkedin.com/in/meet-emily-laird