How to Evaluate an AI Vendor for Your Medical Practice (Questions Before You Sign)
The AI-for-medical-practice market is growing fast and unevenly — some vendors deliver real, measurable results; others oversell a demo that doesn't reflect daily reality. Before signing, ask directly:
Is a signed BAA available, confirming HIPAA compliance, before any patient data is involved? Does the tool integrate with your existing EHR and scheduling system, or does it require switching platforms? Can the vendor show real, verifiable results from a comparable practice, not just a feature list? What does onboarding actually require from your team, and how long does it realistically take? What are the contract terms and exit process if it doesn't work out? And does the team building this tool have actual healthcare experience, or is this a generic AI product retrofitted for medical practices?
The answers to these questions predict whether a tool becomes genuinely useful infrastructure or an expensive, underused subscription your team quietly stops engaging with after month two.
Frequently Asked Questions
What should I ask an AI vendor before buying for my medical practice?
Ask about HIPAA compliance and BAA availability, EHR/scheduling integration, verifiable client results, realistic onboarding requirements, contract terms, and the vendor's actual healthcare experience.
How do I avoid a bad AI vendor contract for my practice?
Avoid long lock-in contracts without proven results, vendors unwilling to provide a signed BAA, and vendors who can't show real (not hypothetical) outcomes from comparable practices.
Dr. Andre (The other one without the hit records) lol 😄