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The healthcare sector faces significant challenges in adopting artificial intelligence due to a lack of federal standards, with the Trump administration's hands-off approach placing the responsibility on industry stakeholders. Experts at the HIMSS healthcare conference highlighted the complexities of implementing AI responsibly, emphasizing the need for clear regulations. The absence of a national framework could hinder AI development and exacerbate existing biases in healthcare.
As hospitals increasingly turn to AI to alleviate clinician workloads and reduce costs, they find themselves navigating a regulatory gray area. The Trump administration's deregulatory stance means that healthcare companies must establish their own internal controls amidst a patchwork of state laws. This situation raises concerns about the potential risks of underregulation and the need for a balanced approach to innovation and safety.
• Trump administration's deregulation leaves AI oversight to healthcare stakeholders.
• Healthcare companies face challenges in AI implementation without federal standards.
AI refers to technologies that enable machines to perform tasks that typically require human intelligence, such as decision-making and problem-solving.
Generative AI can create original content, including text and images, but is known to produce errors or irrelevant outputs.
A regulatory framework provides guidelines and standards for the safe and effective use of AI in healthcare.
Commure focuses on provider automation, emphasizing the need for responsible AI implementation in healthcare.
Google collaborates with healthcare organizations to develop evaluation frameworks for AI reliability and error management.
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