Introducing Council: free clinical AI for NPI-verified clinicians.
Use it for notes, summaries, evidence checks, prior-auth drafts, and second-read clinical questions.
Try it now: https://t.co/RZIg2Ez26z
“Private AI” in healthcare should not just mean a vendor says they are HIPAA compliant.
PHI, clinical context, retrieval, inference, generated outputs, and audit evidence should stay inside the environment hospitals can actually govern.
We wrote about what needs to stay inside your VPC:
A healthcare AI tool is only as useful as the context it understands.
Without the right clinical background, even a confident answer can be dangerous.
Here’s why RAG is becoming essential for healthcare AI.
Link below 👇
Healthcare AI Deployment: Compliance Through Contracting, BAAs, and Data Governance As AI adoption accelerates, healthcare industry stakeholders must focus on... https://t.co/LuFKsbcZZ1
Healthcare AI is not just a model question.
It is a control question.
As AI enters clinical workflows, hospitals need to know where patient data goes, who governs it, and whether they can deploy AI on their own terms.
That is why control, security, and flexibility matter.