Hire an AI clinical evidence reviewer

Everything it can hand back

Your task sets the actual outputs. The specialist picks the methods that cover them.

• A claim table with every claim, its source and its group
• A flag list of claims that need a source or a doctor's review before anyone outside sees them
• Safer wording for each directional claim and each line that sounds like a diagnosis
• A version of the key evidence for each audience you name (optional)

How it does the job well

• Never invent a study, citation, figure or reviewer. If you search the web, quote only what the page says and give its link. If you cannot search, say so.
• Never write that a claim is proven, safe or effective. Say what the source supports.
• Never describe the user's tool as diagnosing, treating or prescribing. Describe it as decision support that helps doctors reach evidence faster.
• Use the term "doctor" where the original profile does. Keep the user's own terms for quoted text.
• Never make an outcomes claim without a data source or validated reference.
• Use "doctor" not "clinician" and not "provider" in all outputs.
• Clinical AI framing: decision support only. Never claim diagnostic authority.

Mistakes it avoids

• Giving medical advice or reading results for a patient.
• Calling a document "ready" or "compliant". It is checked against the sources given, and a doctor still reviews it.
• Copying the profile's tables as if they were the user's facts.
• Padding the claim table with claims that are not about health or outcomes.
• Presenting one source or a popular claim as settled.
• Inventing citations, quotes or page numbers.

What a good result looks like

An example, not your task: You are about to send an investor deck, grant application or pitch that says your health tool improves outcomes, and you want each claim checked first.

• Claim table. Each claim in one sentence, its source or MISSING, its group and the reason for that group.
• Flag list. Claims that need a source, a doctor's review or removal before anyone outside reads the document.
• Reworded lines. Each directional or diagnosis-sounding line, a safer version and why it changed.
• Audience version. The same evidence framed for the reader you named, such as investors or doctors.
• Assumptions and checks still needed. What the agent assumed and what you must still confirm.

How the work is checked

• Every important claim has a source or is marked as unverified.
• Disagreements between sources are named, not hidden.
• Limits and what to check next are listed.
• States which checks passed, failed or could not run, and names missing inputs.

These checks have not been run against a model yet. Your AI uses them to check its own work.

Capabilities

• List the claims. It reads the whole document first, then marks every claim about health, outcomes or what your tool does.
• Find the source. For each claim it asks where it comes from, and writes MISSING when you gave no source.
• Sort by proof. Each claim is marked validated, directional or unvalidated, using the tests in the original profile.
• Reframe the middle group. Directional claims get a qualifier such as "our pilot suggests". Unvalidated claims are held back from outside readers.
• Check the tool wording. It flags any line that sounds like diagnosis or treatment and rewrites it as decision support for doctors.
• Hand back the flags. You get the claim table, the flag list and any audience versions. It never says a claim is proven without a source you can open.

How the role works

1. Checks your task, context and available tools.
2. Picks the methods needed and prepares a work plan.
3. Carries out supported tasks, with each method's limits and review gates.
4. Checks the real deliverables and corrects supported faults.
5. Hands back files, evidence and unresolved gaps.

Your specialist's working setup

Download the base specialist without a task form or account. README.md and SETUP.md explain how to use the folder. SOUL.md defines its scope. INTAKE.md asks missing questions inside your AI. PLAYBOOK.md, SKILLS.md, BEST_PRACTICES.md, CHECKS.md and HANDOFF.md guide the work and its checked deliverables.

Complete associated skills, supporting files and licences are included. Choose only the methods needed for the actual task. Keep context, working files and accepted feedback in your AI project.

Use this specialist through MCP or the API

Call prepare_specialist with role_id healthcare-clinical-evidence-agent only. No task is required to load it. Your AI asks what job you need done, what you want back and which relevant context it can use.

For task-led hiring, call find_specialist, explain the suggested specialists and let the user accept or change the team.

Complete ZIP: Download base specialist. API: GET /api/v1/specialists/healthcare-clinical-evidence-agent/pack. The host AI supplies its own model, tools and execution; a pack does not connect accounts or run a task.

Inputs and helpful context

The specialist starts from the task brief. Only active methods require their inputs.

For the primary method, when used

• The document to check, pasted as text, such as a deck script, grant draft or product page
• The audience for it, such as investors, doctors, regulators, patients or peer reviewers
• The sources you rely on, such as study links, pilot data or label pages (optional)
• Any claims a licensed doctor has already reviewed, with their name and date (optional)

Helpful context (optional)

• The full text of any study you cite, not only the link.
• Your pilot method, such as how many people, over how long, and who reviewed the results.

Tools and access

• Claude, ChatGPT or Gemini with web search: It can open the studies you link and check that they say what your document says. Without search it can only judge the sources you paste.

Functions and deliverables

• Clinical evidence reviewer: Check every health claim in your deck, paper or product page. Each one is sorted as validated, directional or unvalidated, with a flag list.
  • A claim table with every claim, its source and its group
  • A flag list of claims that need a source or a doctor's review before anyone outside sees them
  • Safer wording for each directional claim and each line that sounds like a diagnosis
  • A version of the key evidence for each audience you name (optional)
  Source: Michael Sitarzewski and Agency Agents contributors.
• Clinical research evidence packager: Draft research checklists, tables, and plan reviews from approved group totals or made-up study data.
  • A header that marks every file as research use only
  • An evidence profile checklist with a place for each judgment
  • Cohort table shells with small-count rules
  • A review of your survival analysis plan
  • A summary of model or biomarker performance
  • Privacy and governance notes
  Source: K-Dense.
• Paper claim evidence finder: With BGPT connected, search a topic or DOI. Get extracted paper claims, source notes and evidence gaps to verify.
  • An evidence table with these columns: claim, result, sample size, limits, DOI and source section.
  • One sample row reads: the claim in one line, the main number, how many took part, the author's stated limit, the DOI, and the table or figure.
  • A flag on any record that has no claim-level evidence.
  • Details of the experiment behind each claim.
  Source: K-Dense.
• Clinical report draft checker: Turn checked health facts into report drafts with source IDs, gap checks, and required human review.
  • A structured draft marked as not for clinical use
  • A list of gaps and missing details
  • A source sheet that links each fact to its record
  • Results of checks on your tables and sections
  Source: K-Dense.
• Research paper and code note writer: Share a paper, repo or messy notes. Get claims, methods and evidence sorted into a clear research folder.
  • A research folder with claims, methods and results
  • Every claim linked to its supporting table or log
  • Results tables copied with exact numbers
  • A record of dead ends and decisions
  • A short report on what was filled in and what was missing
  Source: Orchestra Research.

Tasks you can use it for

• You are about to send an investor deck, grant application or pitch that says your health tool improves outcomes, and you want each claim checked first.
• Your product page or press release describes what your AI does for patients, and you want to know if any line sounds like a diagnosis.
• A reviewer, investor or partner asks "where does that number come from?" and you have no list of sources.
• You have one body of evidence and need it written for investors, doctors and patients without changing the facts.

Limits to check before starting

• You want advice about a patient, a diagnosis or a treatment. This agent gives none. Ask a qualified doctor.
• You want a plain review of research on a topic from many sources. Use the Research evidence reviewer.
• You want a legal or regulatory filing written. It prepares claim checks only, and a lawyer and a clinician must review the filing.
• You only want an independent check of a single number. Look it up in the original study.

Best way to use this role

Give it one clear outcome, the actual files and a definition of done. Keep the work in one AI project so it can reuse checked context and earlier files.

• Download the pack from this page and add it to your AI as a skill. If you cannot, paste SKILL.md into a new chat, then paste references/source-agent.md.
• Paste your document and say who will read it. Add study links or pilot data if you have them. No code is needed.
• Type "Check every claim. Show the source for each. Flag anything without one."
• Read the flag list first. Fill in the sources you can, or cut the claims, then ask it to run the check again.
• Take the claims it marks "needs a doctor's review" to a licensed doctor. Check each source it names yourself before you send the document.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/healthcare-clinical-evidence-agent for its role instructions and pinned sources.

This is a prepared AI role. No task has run. Your AI carries out authorized work using its available tools and reports the actual deliverables and checks.