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An Interview With Dr. Ryan Metcalf: Why Quality Management Is Critical to the Long-Term Success of Healthcare AI

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Konten disediakan oleh ARUP Laboratories. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh ARUP Laboratories atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

A public debate is raging around the regulation of artificial intelligence (AI). One side argues that AI is potentially dangerous and needs to be carefully controlled, whereas the other side argues that any regulation would slow innovation. In this interview, Dr. Ryan Metcalf, section chief of Transfusion Medicine and medical director of Transfusion Service/Blood Bank at ARUP Laboratories, makes a strong case for a safety-first approach to healthcare AI. He also explains why embedding AI development and use within a strong quality management framework could actually lead to more innovation over the long term, even as it prevents patient harm in the short term.
RELATED INFORMATION: Creation and Adoption of Large Language Models in Medicine

  continue reading

86 episode

Artwork
iconBagikan
 
Manage episode 439388933 series 3599669
Konten disediakan oleh ARUP Laboratories. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh ARUP Laboratories atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

A public debate is raging around the regulation of artificial intelligence (AI). One side argues that AI is potentially dangerous and needs to be carefully controlled, whereas the other side argues that any regulation would slow innovation. In this interview, Dr. Ryan Metcalf, section chief of Transfusion Medicine and medical director of Transfusion Service/Blood Bank at ARUP Laboratories, makes a strong case for a safety-first approach to healthcare AI. He also explains why embedding AI development and use within a strong quality management framework could actually lead to more innovation over the long term, even as it prevents patient harm in the short term.
RELATED INFORMATION: Creation and Adoption of Large Language Models in Medicine

  continue reading

86 episode

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