HRX Roundtable - Learning AI for Busy Clinicians: Staying Ahead-Learning AI for Busy Clinicians

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Video Summary

In HRX Session 2024, focused on "Learning AI for the Busy Clinician," moderator Sanjeev Narayan was joined by a diverse panel including Amy from Stanford, Advey Bhatt from Valley Health in New Jersey, Nasir Marouche from Tulane University, and Thomas Deniker from Nuremberg. The discussion revolved around how clinicians can learn about AI, the necessary resources, and the importance of integrating AI into clinical practice. It was highlighted that AI has been part of medicine for years, like ECG analysis tools, but now faces skepticism and privacy concerns.<br /><br />Key points included the need for better education and resources for clinicians, a common language to understand AI, and addressing patient fears around privacy and data security. The panel discussed leveraging platforms like YouTube, ChatGPT, and MIT OpenCourseWare for AI learning. The conversation also touched on the ethical considerations, the need for clear data usage policies, and the role of professional societies in advocating for responsible AI integration. Despite challenges, the panel was optimistic about AI's potential to enhance patient care and workflow efficiency but acknowledged the journey's complexity and the necessity of interdisciplinary collaboration.

Keywords

AI in healthcare

clinician education

privacy concerns

ethical considerations

data security

professional societies

interdisciplinary collaboration

patient care