What should I check before choosing healthcare AI?

QUICK ANSWER

Check the intended users, clinical purpose, applicable authorization, evidence, integrations, and patient-data protections. Evaluate with qualified healthcare professionals using an approved workflow.

What to do next

Write down what you need

Choose one task you need help with. Explore clinical documentation, evidence search, and medical imaging workflows. Note who will use the tool, what a good result looks like, and anything it must connect to.

Try the same task in each tool

Pick two or three options and give them the same example. Try a normal task and a difficult one. Record the result, any corrections, and how much time the work takes.

Check the cost and important limits

Ask specific questions before paying. For ClinicalKey AI: Verify intended use, evidence, local authorization, and patient-data handling. Qualified clinicians should review clinical outputs and draft notes. Check the same requirements with the other options, including access, exports, and the price of the plan you need.

Useful tools to explore

Open a profile for more detail, or check the vendor’s current plans.

ClinicalKey AI

Qualified healthcare professionals and teams evaluating this clinical or research workflow.

Microsoft Dragon Copilot

Qualified healthcare professionals and teams evaluating this clinical or research workflow.

Glass Health

Qualified healthcare professionals and teams evaluating this clinical or research workflow.

Before you decide

  • Use your own example instead of relying only on a demo.
  • Ask the people who will use the tool to try it.
  • Check the full cost, including extra users and add-ons.
  • Make sure you can export your work if you leave.
Keep in mind

A long feature list does not show how well a tool works for your task. Choose using the results of your own test.

A LITTLE FEEDBACK GOES A LONG WAY

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