Eight healthcare AI myths engineers should stop repeating

Myth: Bigger models solve everything

Reality:
Architecture usually matters more than model size.

Myth: Human review is inefficient

Reality:
Approval gates exist only for high-risk workflows.

Myth: AI doesn't need evidence

Reality:
Production systems retrieve source documents and attach citations whenever possible.

Myth: Governance slows deployment

Reality:
Governance reduces operational risk and accelerates enterprise adoption.

Myth: Chatbot = AI Agent

Reality:
Agents orchestrate workflows, tool use, retrieval, and escalation.

Healthcare AI becomes valuable when engineering prioritizes reliability over impressive demos.

Learn more about governed healthcare AI:
https://www.intellibooks.io/

Overview:
https://intellibooks.ai/overview