Sample review format. Replace this with a real product, public evidence, and specific workflow before publishing.
This is the format I would use for a healthcare AI tool review. The question is not whether the demo is impressive. The question is whether the product claim survives the buyer’s operating environment.
The claim
The product says it reduces documentation burden by preparing structured notes from visits, messages, or chart context.
The useful review starts one layer below that claim:
- Which workflow is being changed?
- Which source data does the system actually see?
- Who reviews the output?
- What happens when the case does not fit the happy path?
Evidence to look for
| Question | Good evidence | Weak evidence |
|---|---|---|
| Workflow fit | Before/after task map with handoffs and exceptions. | Generic time-saved claim without task boundaries. |
| Review path | Named reviewer, queue, signoff, and audit behavior. | "Human in the loop" with no visible loop. |
| Source boundary | Clear list of inputs, stale-data behavior, and refusal states. | Broad integration language without field-level proof. |
The decision answer
I would trust the tool more if it is explicit about the work it does not own. A strong product should make review easier, not merely move review into a less visible place.