{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/34b3b464e62e498d974f15ad48c820c7\" frameborder=\"0\" width=\"1730\" height=\"1297\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1297,"width":1730,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1297,"thumbnail_width":1730,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/34b3b464e62e498d974f15ad48c820c7-1c19f150e4739796.gif","duration":461.101,"title":"Ensuring Safe AI Communication in Healthcare 🤖","description":"In this video, I discuss the AI care standard for patient communication and how we can make AI safe for direct interactions with patients. I emphasize the importance of using high-quality training data from peer-reviewed medical journals rather than unreliable internet sources. I encourage AI committees and health system vendors to utilize our evaluation framework available at aicarrastander.com, which includes a series of questions to assess AI tools effectively. By following this framework, you can ensure that your AI systems are ready for deployment or identify areas needing improvement. I urge you to take action by evaluating your AI systems using our tool and sharing the results with your team."}