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Understanding the Promise and Limitations of AI in Healthcare Delivery: Dr. Bradley Max Segal, Department of Health, South Africa

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Manage episode 431672324 series 2984079
Contenu fourni par Michael Carrese and Shiv Gaglani. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Michael Carrese and Shiv Gaglani ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

In this installment of in our Next Gen Journeys series featuring conversations with learners and early career practitioners in medical professions around the globe, we introduce you to Dr. Bradley Max Segal, a physician in the Department of Health, South Africa with a self-described passion for technology and innovation. Although he’s only a few years out of medical school, Dr. Segal has worked extensively at the intersection of healthcare and data science to develop solutions to the challenges found in low resource health systems, often serving as a bridge between technical and clinical teams. “Oftentimes you have groups that are speaking a completely different language so the approach I take is about being aligned in terms of what the problem is, aligning the language and aligning the solution,” he tells Raise the Line host Lindsey Smith. Of course one of the biggest questions in healthcare regarding the use of technology is the role of AI. On the plus side, Dr. Segal sees great potential for AI chatbots to be used as an extension of very limited clinical staff in under resourced areas leading to improved patient engagement and understanding of their health. He cautions, though, that providers need to develop the ability to discern the quality of the many AI tools that are coming their way at a fast pace. “I think the main skillset that's going to become increasingly relevant is the ability to understand how these systems are evaluated and where they can go wrong. Understanding how not to use them is oftentimes more important than when to use them.” Join us for an insightful conversation on the realities of deploying technology in healthcare especially in low-resource areas.

Department of Health South Africa

  continue reading

508 episodes

Artwork
iconPartager
 
Manage episode 431672324 series 2984079
Contenu fourni par Michael Carrese and Shiv Gaglani. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Michael Carrese and Shiv Gaglani ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

In this installment of in our Next Gen Journeys series featuring conversations with learners and early career practitioners in medical professions around the globe, we introduce you to Dr. Bradley Max Segal, a physician in the Department of Health, South Africa with a self-described passion for technology and innovation. Although he’s only a few years out of medical school, Dr. Segal has worked extensively at the intersection of healthcare and data science to develop solutions to the challenges found in low resource health systems, often serving as a bridge between technical and clinical teams. “Oftentimes you have groups that are speaking a completely different language so the approach I take is about being aligned in terms of what the problem is, aligning the language and aligning the solution,” he tells Raise the Line host Lindsey Smith. Of course one of the biggest questions in healthcare regarding the use of technology is the role of AI. On the plus side, Dr. Segal sees great potential for AI chatbots to be used as an extension of very limited clinical staff in under resourced areas leading to improved patient engagement and understanding of their health. He cautions, though, that providers need to develop the ability to discern the quality of the many AI tools that are coming their way at a fast pace. “I think the main skillset that's going to become increasingly relevant is the ability to understand how these systems are evaluated and where they can go wrong. Understanding how not to use them is oftentimes more important than when to use them.” Join us for an insightful conversation on the realities of deploying technology in healthcare especially in low-resource areas.

Department of Health South Africa

  continue reading

508 episodes

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