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AI in Healthcare: Job Transformations

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Manage episode 486661016 series 3659308
Content provided by Rukiya Beal. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rukiya Beal or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

This podcast episode of 'Tomorrow's Consciousness' delves into how artificial intelligence (AI) is reshaping the healthcare sector, focusing on both job transformations and patient outcomes. It discusses the roles most susceptible to automation, including administrative tasks, routine diagnostics, and data entry, supported by studies from Oxford University and McKinsey. Key AI advancements in medical coding, transcription, and radiology are highlighted, citing improvements in accuracy and efficiency. The episode also addresses the resilience of roles requiring human empathy and critical thinking, such as those of nurses, doctors, and mental health counselors. The creation of new jobs, such as AI specialists, ethicists, and AI healthcare analysts, is another focal point. Emphasizing the need for adaptability and continuous learning, the podcast concludes that AI is more likely to augment rather than replace human roles in healthcare, fostering a collaborative future.

  continue reading

31 episodes

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iconShare
 
Manage episode 486661016 series 3659308
Content provided by Rukiya Beal. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rukiya Beal or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

This podcast episode of 'Tomorrow's Consciousness' delves into how artificial intelligence (AI) is reshaping the healthcare sector, focusing on both job transformations and patient outcomes. It discusses the roles most susceptible to automation, including administrative tasks, routine diagnostics, and data entry, supported by studies from Oxford University and McKinsey. Key AI advancements in medical coding, transcription, and radiology are highlighted, citing improvements in accuracy and efficiency. The episode also addresses the resilience of roles requiring human empathy and critical thinking, such as those of nurses, doctors, and mental health counselors. The creation of new jobs, such as AI specialists, ethicists, and AI healthcare analysts, is another focal point. Emphasizing the need for adaptability and continuous learning, the podcast concludes that AI is more likely to augment rather than replace human roles in healthcare, fostering a collaborative future.

  continue reading

31 episodes

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