Use AI in Medicine Ambient Clinical Documentation Lesson 7 of 10 intermediate 7 min read

Teach the Tech, Not the Vendor

Ambient documentation vendors will change, merge, and disappear. A ten-point evaluation framework that outlasts any single product.

In This Lesson

Read with a defined objective.

View the complete course

Learning objectives

  • Apply a ten-point, vendor-neutral evaluation framework to any ambient platform.
  • Distinguish a current workflow snapshot from a permanent product endorsement.
  • State the portability test for a documentation workflow.

Prerequisites

No prior lesson is required. Begin with the problem in front of you.

Use AI in Medicine Ambient Clinical Documentation

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Teach the Tech, Not the Vendor

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Ten small glowing evaluation nodes arranged around a central neutral document icon, no company logos visible
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I get asked, often, which ambient documentation platform I recommend. I understand why the question gets asked that way. I think it is the wrong question, and answering it directly would do the reader a disservice.

Vendors will change. Features will converge. Pricing will change. EMR integrations will evolve. The product I prefer today may not be the product I prefer next year, and it is very unlikely to be the product a resident should prefer five years from now. The durable skill is not learning one interface. The durable skill is learning how ambient documentation fits into clinical work, in a way that survives the interface changing underneath it.

A Vendor-Neutral Evaluation Framework

Evaluate any ambient system against these ten criteria, in this order of consequence.

Clinical accuracy. Does the draft faithfully represent the encounter, not an approximation of it?

Editing burden. How much work is required before the note is actually usable?

Workflow friction. How many steps are required before, during, and after the encounter?

Customization. Can the note structure and instructions match your specialty and your own style, or does every note sound like the vendor’s default voice?

Integration. How does the output actually reach the clinical record, and how many hands does it pass through to get there?

Privacy and governance. Is the system appropriate for the intended clinical use and your organization’s requirements, not just generally reputable?

Reliability. What happens when connectivity, recording, or processing fails mid-encounter?

Portability. Can your workflow survive if you change vendors, or have you quietly built your entire documentation habit around one company’s specific behavior?

Cost. Does the benefit actually justify the expense, measured honestly?

Patient experience. Does it help you become more present, or does it just move the friction somewhere the patient cannot see?

A Living Section: What I Use Now

I currently use Heidi for clinical ambient documentation and Fieldy for appropriate non-clinical conversation capture. I am naming them because specificity is more useful than vague reassurance, and because this course would be worse if I pretended to have no opinion.

Treat that sentence as a dated workflow snapshot, not an endorsement with any shelf life. If a better tool exists by the time you read this, use the better tool. The framework above is what should decide that, not the name I just wrote down.

Portability Is the Real Test

The clearest sign that you have learned the tech and not the vendor is whether you can describe your entire documentation workflow out loud without naming a product. If you cannot, your templates and habits are probably locked to a specific interface, and you will pay for that the day you have to switch.

Name the one specific improvement that would make you leave your current documentation tool for another one. If you cannot name it, you have not actually evaluated your current tool. You have just gotten used to it.

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Chukwuma Onyeije, MD, FACOG

Chukwuma Onyeije, MD, FACOG

Maternal-Fetal Medicine Specialist

MFM specialist at Atlanta Perinatal Associates. Founder of CodeCraftMD and OpenMFM.org. I write about building physician-owned AI tools, clinical software, and the case for doctors who code.