What health systems actually need from a clinical LLM

The clinical LLM market is maturing faster than health system procurement processes. There are now dozens of vendors offering AI-powered clinical decision support, documentation tools, and patient communication systems, all of them claiming to be HIPAA-compliant, all of them claiming impressive accuracy benchmarks.

The benchmarks are real. The HIPAA certifications are real. The gap between both of those things and clinical utility is also very real.

What health systems actually need

Workflow integration, not workflow addition. The clinical AI tools that fail are almost always the ones that require an additional step. An alert that interrupts documentation. A dashboard that sits beside the EHR rather than inside it. Every additional click is adoption friction. The tools that stick are the ones that appear inside the workflow the clinician is already in.

EHR interoperability that actually works. Bidirectional EHR integration is not a checkbox. A tool that can read structured data from Epic or Cerner but cannot write back, or writes back in a format that requires manual editing, is not integrated. It is adjacent. The difference matters enormously for both adoption and outcome measurement.

Explainability that clinicians trust. A clinical LLM that returns a recommendation without explanation asks physicians to trust a black box. This is not how clinical decision-making works. The tools that achieve the best adoption rates are the ones that show their work, here is the guideline this recommendation is based on, here is the data from this patient's record that is driving this alert.

Change management support, not just documentation. The gap between a tool going live and a tool being used is wide, and it is almost never a technology gap. It is an adoption gap. The vendors who invest in structured change management programs, training curricula, feedback loops, clinical champions, achieve adoption rates that are measurably higher than those who hand over documentation and walk away.

The questions worth asking

Before any vendor evaluation, ask these questions: Can you show me your integration architecture for our specific EHR version? What is your typical adoption rate at 30, 60, and 90 days post-deployment, and what are the strongest predictors of high versus low adoption in your client base? What does your change management program look like, and who leads it?

The answers will tell you more than any accuracy benchmark.