The ViVE conference held in Los Angeles in late February brought the spotlight onto AI's role in healthcare.
Although there's considerable excitement surrounding the potential of this technology, experts caution that it's still early days in demonstrating its efficacy in addressing healthcare challenges like clinical burnout and workforce shortages. Brendan Carr, CEO of Mount Sinai, expressed optimism about AI's future in healthcare.
During an interview at ViVE, Carr discussed a grid model for conceptualizing healthcare AI. This model divides AI applications into administrative and clinical tasks, benefiting either patients or providers. He highlighted the potential of AI in administrative tasks, which can positively influence patient outcomes by nudging them towards healthier behaviors.The ViVE conference held in Los Angeles in late February brought the spotlight onto AI's role in healthcare.
Although there's considerable excitement surrounding the potential of this technology, experts caution that it's still early days in demonstrating its efficacy in addressing healthcare challenges like clinical burnout and workforce shortages. Brendan Carr, CEO of Mount Sinai, expressed optimism about AI's future in healthcare.
During an interview at ViVE, Carr discussed a grid model for conceptualizing healthcare AI. This model divides AI applications into administrative and clinical tasks, benefiting either patients or providers. He highlighted the potential of AI in administrative tasks, which can positively influence patient outcomes by nudging them towards healthier behaviors.
However, Carr acknowledged the hurdles in using AI to streamline clinicians' workflows, particularly in managing EHR inboxes. While AI can mitigate friction in these tasks, critical clinical decisions still necessitate human input.
Carr cautioned that utilizing AI in clinical settings, such as making diagnoses and recommending treatments, carries inherent risks. Despite these challenges, he believes that health systems are on the brink of realizing substantial returns on their investments in AI, with radiology poised to lead the charge in leveraging AI-driven enhancements.
However, Carr acknowledged the hurdles in using AI to streamline clinicians' workflows, particularly in managing EHR inboxes. While AI can mitigate friction in these tasks, critical clinical decisions still necessitate human input.
Carr cautioned that utilizing AI in clinical settings, such as making diagnoses and recommending treatments, carries inherent risks. Despite these challenges, he believes that health systems are on the brink of realizing substantial returns on their investments in AI, with radiology poised to lead the charge in leveraging AI-driven enhancements.
English (US)