Coding platform demos look identical. NLP. EHR connectors. Dashboards. The differences show up in production. After 30 deployments we know which capabilities move outcomes and which are window dressing. This is the buyer checklist we wish we had three years ago.
01 / NLPDomain trained NLP
Generic LLMs read clinical text poorly. Look for an NLP stack trained on at least 8 to 10 billion clinical tokens, with a concept graph mapped to UMLS and payer specific code sets.
02 / EHREHR depth, not breadth
Most platforms claim 16 EHR connectors. Real depth is rarer. Test against the version of Epic, Cerner, or Athena you actually run. Ask for a 50 chart sample run on your own data.
03 / AUDITAudit trail and explainability
Every code the AI assigns must come with a per code audit chain. The exact note phrases. The exact rule fired. The exact payer policy referenced. Demand a click and see the trail demo.
04 / EDITSReal time payer edits
The platform must run payer specific edits at chart read time, not at submission. Late edits cost rework. Real time edits cut first pass denial rates by 60 to 70 percent.
05 / WORKFLOWCoder workflow integration
AI does not replace the coder. It hands them the exception queue. Look for a coder UI that loads the AI suggestion, the source note, and the override path in one screen.
06 / SCALEMulti specialty scale
Adding a new specialty should not be a re training project. The platform must support 10 plus specialties out of the box and add new ones in days, not quarters.
07 / SECURITYSecurity and compliance
SOC 2 Type II, HIPAA aligned BAA, encryption at rest and in transit, role based access, and access logging. If a vendor says yes without showing you the report, walk.
If a vendor cannot answer these, walk away.
First, no blind audit allowed. Second, accuracy reported only on synthetic charts. Third, integration depth not tested on your EHR version. Any of the three is a deal breaker.
Most buyers regret one feature they underweighted. Usually it is real time edits or audit trail. Both are easy to evaluate and both compound in value over time. Run the seven feature checklist on every demo.