Evidence-based medicine

Practice EBM end to end, faster

Frame a focused PICO question, acquire the best available evidence, critically appraise its validity and certainty with GRADE, and apply it to your patient — every step structured and supported by cited sources.

Start with a real clinical question

Pick a question to ask Arkangel AI — we keep it through sign in and answer with cited evidence.

Evidence summaryCan you summarize the current evidence on this clinical question with citations?Ask this questionGRADE certaintyHow would you assess the certainty of evidence using GRADE for this recommendation?Ask this questionAppraise an RCTHow should I critically appraise this randomized controlled trial for risk of bias and validity?Ask this question

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Healthcare organizationsLogos shown for reference

Mayo Clinic
Mount Sinai
Cleveland Clinic
MD Anderson
IEEE
Novartis
Boston Scientific
Novo Nordisk
Elsevier
Johnson & Johnson
Knight Foundation
AstraZeneca
Boehringer Ingelheim
Bristol-Myers Squibb

Last updated: June 12, 2026

Reviewed by: Arkangel AI clinical review team, Medical AI content

How it supports EBM

Ask, acquire, appraise, apply — the full EBM cycle.

Frame and acquire

Turn a clinical scenario into a focused PICO question and acquire the best available evidence to answer it, with sources kept in view.

Critically appraise

Assess a study's risk of bias, validity and applicability, and identify the methodological limitations that affect how far you can trust it.

Rate certainty with GRADE

Judge the certainty of evidence for a recommendation using GRADE, accounting for risk of bias, inconsistency, imprecision and more.

Evidence-based search built for clinicians

Ask any clinical question and get a concise, cited answer drawn from peer-reviewed literature and clinical guidelines.

Explore potential documentation gaps

Review available, supported records for potential billing details and documentation gaps. Validate findings against the complete clinical context.

Evidence at your fingertips

Explore available clinical guidelines and literature, and check the sources and relevance of each finding before applying it.

Findings for clinical review

Surface potential clinical risks and documentation gaps in supported records for professional review. Timing and coverage depend on the configured workflow.

Review potential billing gaps

Identify possible missing charges or coding gaps in supported records. Billing professionals validate the documentation and applicable payer rules before making changes.

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Compliance Center

ISO 27001:2022 certified, HIPAA compliant, and penetration tested. With 70+ security controls covering infrastructure, data privacy, and audit procedures—plus continuous monitoring via Vanta—your PHI stays protected with enterprise-grade cryptographic controls and information access restrictions.

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Built for Healthcare Teams

Role-based access control, secure development policies, and system change procedures let your team collaborate safely. Scale across departments with audit trails, asset handling controls, and subprocessors like Azure for anonymization—all documented in our public Compliance Center.

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Frequently asked questions

How is this different from evidence retrieval?

Beyond finding evidence, it supports the EBM method itself: forming the question, appraising study quality, and rating certainty before you apply it.

Does it use GRADE?

Yes. It assesses the certainty of evidence using the GRADE framework, explaining what raises or lowers confidence in a recommendation.

Can it critically appraise a study?

Yes. It walks through risk of bias, internal validity and applicability for a given trial, helping you judge how much weight it deserves.

Explore related pages

AI for Medical EvidenceMedical Search AIAI for Clinical Guidelines

Clinical decision support, not a replacement

Arkangel AI supports clinical decision-making and does not replace clinician judgment. Always confirm recommendations against primary sources and your local protocols before acting.

AI processes supported records, flags priority findings, and keeps human review auditable.

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