Improving non-clinical tasks using ML-enabled provider workflow

Making the Rounds

Cardiology fellow at the Texas Heart Institute, Matthew Segar, MD, MS talks about his research submission for the AMA Research Challenge: improving non-clinical tasks using a machine learning-enabled provider workflow. Find his poster here: https://www.ama-assn.org/system/files/matthew-segar-poster.pdf Learn more about the AMA Research Challenge here: https://www.ama-assn.org/about/events/ama-research-challenge-finals✶✶✶✶ 📺 Follow the @americanmedicalassociation on YouTube: https://bit.ly/AMA_YouTubeChannel 🎥 Watch #AMAUpdate for the latest in health care news for physicians: https://bit.ly/AMA_Update 📝 Full transcripts of the show are available here: https://bit.ly/AMA_Update_Transcripts 📧 Subscribe to AMA Morning Rounds newsletter, with the news you need every morning delivered to your inbox: https://bit.ly/AMA-MorningRounds 🎧 Listen to our latest podcast episodes now: https://bit.ly/AMA_Podcasts 📲 Download AMA Connect for news, podcasts, video updates and learning in one place: https://apple.co/3URzNES 💬 Connect with the AMA on social media: https://bit.ly/AMA_Social_Media