How Freed's Clinical Evidence Feature Provides Cited Answers
Updated
Freed's Clinical Evidence feature lets a clinician ask a clinical question in plain language and get back an answer that cites its sources — drawn from 50+ trusted sources — and is sharpened to the patient in front of them. It sits inside the same workflow as the AI scribe, so the question can be asked without leaving the note-taking context. The description below reflects what Freed states on its site; it does not cover pricing tiers, which sources are included, or how citations are formatted, since those details aren't published in the available material.
What the feature does
According to Freed's site, Clinical Evidence works in three connected steps:
- Ask any clinical question. The clinician poses a question directly, rather than searching a database manually.
- Get cited answers from 50+ trusted sources. Each answer is backed by references, so the basis for the answer can be checked rather than taken on faith.
- Answers are sharpened to the patient in front of you. The response is framed around the specific patient context, not a generic textbook answer.
Freed positions this alongside two other clinician-facing tools — the AI Scribe (visit prep and note generation) and the Coding Assistant (ICD-10, CPT, and E/M code suggestions) — as part of one workflow rather than a separate lookup product.
Why the "cited" part matters
A cited answer is useful because it separates two things that are easy to blur together:
- The answer itself — what the tool suggests.
- The evidence behind it — where that suggestion comes from.
For a clinician, the second is what makes the first checkable. If an answer doesn't match your own reading of the literature or the patient's situation, the citation is the point where you can verify, disagree, or dig further. Freed's claim is that answers come from 50+ trusted sources; the site does not list them, so treat "trusted" as Freed's characterization until you confirm the specific sources yourself.
Where it fits in the workflow
Freed describes Clinical Evidence as embedded in the scribe workflow, not a standalone research tool. In practice that means the sequence looks like this:
- A patient conversation is captured by the AI Scribe.
- A clinical question comes up — during visit prep, while reviewing the encounter, or while drafting the note.
- The question is asked in the same environment, and the cited answer comes back tied to that patient's context.
The intended benefit is avoiding a context switch: no separate tab, no re-entering patient details into a search box. Freed frames the overall product around reducing documentation burden for independent clinics, and Clinical Evidence is one of the pieces meant to serve that goal.
What to verify before relying on it
Because the public material is thin on specifics, confirm these directly with Freed or in a trial:
| Question | Why it matters |
|---|---|
| Which 50+ sources are included? | Determines whether the evidence base matches your specialty and standards. |
| How are citations displayed and linked? | Affects how quickly you can check an answer. |
| How is "sharpened to the patient" implemented? | Tells you what patient data the answer actually uses. |
| Does it work across your EHR? | Freed states seamless push to top browser-based EHRs; confirm yours is covered. |
| What does it cost? | Freed lists plans starting at $39/mo for clinicians, but the page does not break down which features sit in which tier. |
Who this is for
Freed states it is built for independent practices rather than large healthcare systems, and says it is used by 26k+ clinicians. If you work in a small or independent clinic and want cited clinical answers available at the point of documentation, this feature is aimed at you. If you need a full evidence-review tool with transparent, auditable source lists, treat Freed's Clinical Evidence as a workflow convenience and verify the sourcing before depending on it for decisions.
The practical next step is a trial: ask a question you already know the answer to, check whether the citation matches, and see whether the patient-specific framing is useful or noise. That tells you more than any feature list.