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Contenuto fornito da Aly Schweigert and American Medical Association. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Aly Schweigert and American Medical Association o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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Improving non-clinical tasks using ML-enabled provider workflow

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Manage episode 389664471 series 2430483
Contenuto fornito da Aly Schweigert and American Medical Association. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Aly Schweigert and American Medical Association o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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
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98 episodi

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Manage episode 389664471 series 2430483
Contenuto fornito da Aly Schweigert and American Medical Association. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Aly Schweigert and American Medical Association o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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
  continue reading

98 episodi

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