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AI, Regulation, and the Future of Health Information

The proposed HTI-5 rule from the Office of the National Coordinator for Health IT reduces regulatory burden while shifting responsibility to healthcare organizations to manage AI risks and compliance. Guidance from the American Hospital Association underscores that strong governance, transparency, and human oversight are essential for responsible AI adoption.

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Accelerating AI Model Training with Synthetic Data

Healthcare AI adoption is often slowed by concerns around data privacy, regulatory risk and lack of transparency, particularly when models rely on sensitive patient data. Verisma addresses this by training its AI entirely on synthetic data.

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AI in HIM: A Prescription for Success

Verisma’s AI solution suite combines intelligent automation with human oversight to improve speed, quality, and regulatory compliance – without removing HIM professionals from sensitive decisions.

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