HIMSSCast
HIMSSCast: AI assurance labs could improve health equity
Jan 24, 2025
Brigham Hyde, CEO of Atropos Health, delves into the transformative potential of AI assurance labs in healthcare. He advocates for standardization to enhance equity and transparency in AI applications. The conversation navigates the complexities of integrating multiple AI models and the necessary evaluations to prioritize patient care. Hyde addresses challenges in balancing AI assurance costs, especially for rural providers, and calls for collaboration among tech companies and healthcare institutions to overcome biases and promote fair access to innovative tools.
28:22
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Quick takeaways
- Establishing clear standards for AI in healthcare is essential to foster safety, effectiveness, and user confidence in implementing these technologies.
- AI assurance labs can help improve health equity by identifying biases in models and using diverse datasets to create inclusive treatment options.
Deep dives
The Importance of AI Standards in Healthcare
Establishing standards for artificial intelligence in healthcare is crucial to ensure that AI tools are safe and effective. Without these standards, health system leaders may hesitate to implement AI technologies, fearing the potential risks associated with unregulated use. A well-defined framework would provide guidance for healthcare organizations, thus fostering innovation and confidence among users. There is a collective call for federal regulation to streamline the deployment of AI across different states, alleviating the complexities that arise from varying state regulations.
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