AI can create meaningful opportunities for healthcare, but responsible adoption starts with understanding where and how it is already being used.
3SNAPSHOT
Healthcare Readiness Snapshot #3 from Compliance Readiness Advisors
The broader picture
AI is becoming part of the healthcare environment.
AI may be a tool an employee chooses to use, a feature added to existing software, or a capability introduced by a vendor. A practice can therefore be using AI even when leadership has not deliberately purchased a product labeled as an AI platform.
The first step is visibility. Practice leadership needs to understand which tools are in use, what information is being entered, where vendors have added AI functionality, and who is responsible for approving and reviewing that use.
What to look across
Four areas to make visible before expanding use.
01
AI tools
Identify both approved and employee-initiated tools already being used across clinical, administrative, and operational workflows.
02
Patient data
Understand what patient or other sensitive information may be entered, how it is processed, and whether it is retained or reused.
03
Vendors
Determine where existing vendors have introduced AI capabilities and how those features affect information, workflows, and contractual responsibilities.
04
Governance
Define who can approve AI tools, establish acceptable-use guidance, maintain documentation, and include AI in ongoing risk review.
Responsible AI starts with visibility.
You cannot effectively manage a risk you do not know exists.
