Before You Sign: The AI EHR Buyer's Dos and Don'ts That Could Save Your Organization

The EHR market is in the middle of a generational shift. AI is rewriting what software can do. New platforms are entering the human services space every quarter, and many of them look incredible on screen.

That is a good thing. Provider organizations have waited too long for modern tools, and the industry is better when competition pushes everyone forward.

But after 14 years of building, deploying, and supporting EHR software for hundreds of provider organizations across 30+ states, we have learned something that never shows up in a demo: the system you see on screen and the system that protects your organization are two completely different things.

The numbers: Healthcare data breaches cost an average of $6.64 million per incident in 2026. Over 80% of stolen protected health information was taken from third-party vendors, not from provider organizations themselves. HIPAA penalties range from $145 to over $2.1 million per violation.

What Is Vibe Coding, and Why Should You Ask About It?

Vibe coding is a development approach where AI generates code from plain-English prompts. It has exploded in popularity because it is fast and produces visually impressive results in a fraction of the time traditional development takes.

When done right, with senior engineers reviewing every line, automated testing, and security audits before production, it is a genuine accelerator.

When done wrong, it means AI writes the code and the code ships. The demo looks stunning. Underneath, you have software that was generated, not engineered. And in a HIPAA-regulated environment, that is a risk your organization cannot afford.

AI is the tool. The team behind it is the product. The experience behind that team is what protects you.

The Checklist: 45+ Questions to Ask Every Vendor

Here are the categories and key questions. The full checklist with detailed evaluation criteria, the complete Dos and Don'ts, and the LLM data residency guide is available as a free download.

1. Security and Compliance

SOC 2 Type II certified? Does the scope include AI data flows? Signed BAA ready, including with AI subprocessors? Encryption at rest and in transit, including data sent to AI models? MFA enforced? Any breaches in the past three years?

2. Audit Logging and Monitoring

Every access logged in real time? AI-generated actions logged separately? Tamper-proof, exportable logs retained for six years? Active monitoring for suspicious activity?

3. Engineering Practices and Code Quality

How large is the engineering team? What is the code review process? How is AI-generated code validated? Automated testing? Staging environments? Regular pen testing?

4. Vendor Maturity

Years in operation? Provider organizations live on the platform? Financial stability? Experience with your state's regulations? AI roadmap aligned with regulatory realities?

5. Implementation and Support

Implementation team headcount and experience? Training on AI feature usage and limitations? Support SLAs? Dedicated customer success post-go-live?

6. AI Features: Substance vs. Spectacle

Can the vendor explain how their AI actually works? Human oversight on AI outputs? AI outputs auditable? Bias testing conducted? Your data used to train other customers' models?

7. LLM Data Residency

Is the LLM in-house or outsourced? BAA with the AI provider? Your data excluded from model training? Where are the servers? Can the vendor show you the data flow diagram?

8. Data Portability and Continuity

Can you export all data, including AI-generated content? Disaster recovery plan? Uptime SLA? What happens if the vendor folds?