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Coding AI for Healthcare Apps: Why the Wrong AI Builder Can Cost You Thousands in Tech Debt
By Gil Vidals, , App Development, Artificial Intelligence, HIPAA Blog, Resources

Coding AI for Healthcare Apps: Why the Wrong AI Builder Can Cost You Thousands in Tech Debt

The rise of coding AI has made it easier than ever to build software fast. Founders can now go from idea to working healthcare app in days using tools like Base44, Replit, and Cursor. That speed is exciting. It is also where many teams make their most expensive mistake. A prototype that feels effortless to... Continue reading
AI-Generated Healthcare App HIPAA Compliance: What Founders Need to Know
By Brenda Medel, , Artificial Intelligence, HIPAA Blog, Resources

AI-Generated Healthcare App HIPAA Compliance: What Founders Need to Know

AI is making healthcare software easier to build than ever. A founder, clinician, or operator can now generate a working product far faster than traditional development cycles allowed. But as speed changes the risk profile too. “These medical professionals have had an idea in their minds for probably years and they finally can make it... Continue reading
How to Run a HIPAA Compliant LLM
By Josh Vidals, , Artificial Intelligence, HIPAA Blog, Resources

How to Run a HIPAA Compliant LLM

A HIPAA compliant LLM is not a model you buy off the shelf. It is a large language model deployed inside a compliant environment with the right contracts, safeguards, access controls, and oversight. HHS says cloud service providers that create, receive, maintain, or transmit ePHI on behalf of a covered entity or business associate are... Continue reading
AI-Ready Healthcare Infrastructure Starts With Governed Data
By Alicia Vidals, , Artificial Intelligence, HIPAA Blog, Resources

AI-Ready Healthcare Infrastructure Starts With Governed Data

Healthcare organizations are moving fast to adopt AI, but speed without structure can create serious compliance risk. In this episode of the HIPAA Insider podcast, Adam Z. speaks with Franck Leveneur, founder and CEO of Data-Sleek and a former UCLA professor, about what it really takes to build AI-ready infrastructure in healthcare. Their conversation breaks... Continue reading