FREE CHECKLIST
Identify red flags before operational risk escalates
Ask vendors the questions that actually matter
Protect patient trust while reducing administrative pressure
Why this checklist exists
Reduce implementation risk
Avoid costly surprises by evaluating AI beyond marketing claims.
Protect workforce sustainability
Ensure tools reduce burnout — not add new complexity.
Strengthen governance and compliance
Make sure your AI adoption withstands regulatory scrutiny.
What’s inside
Workforce & Operational Impact
Measure whether AI reduces administrative burden and improves efficiency.
Documentation Quality & Clinical Safety
Ensure outputs are accurate, editable, structured, and context-aware.
Revenue & Financial Impact
Evaluate measurable ROI, billing accuracy, and utilisation improvement.
Scalability & Enterprise Fit
Confirm integration capability and multi-site readiness.
Governance & Data Security
Assess hosting, compliance certifications, and risk exposure.
Implementation & Change Readiness
Determine onboarding requirements and staff adoption capacity.
Preview: Questions You’ll Use
Consider these?
Is the AI designed specifically for healthcare workflows?
Can ROI be measured within 90 days?
Is all data stored within Australia?
Does the tool reduce complexity — or add another system?
Can it scale across multiple care settings?
Red flag
Always-on microphones with unclear consent processes.
Recommended
Triggered-only listening, clear consent, and Australian-hosted infrastructure.
Who it’s for
Who is this resource designed for?
Is this checklist vendor-specific?
Why is a leadership lens important when evaluating AI?
How do these tools help reduce risk?
Do I need technical expertise to use this resources?
What if our organisation isn’t “ready” for AI?
What should we do after completing the framework?
Is AI adoption urgent in healthcare?
Can we discuss our results with MediQo?
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