For healthcare teams

One source of truth your whole team can trust

Turn guidelines into quick-reference protocols, draft clear patient education, and summarize evidence for handoffs — so every member of the team works from the same cited, current source.

Start with a real clinical question

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

Protocol quick-referenceCan you turn this guideline into a concise quick-reference protocol for the team?Ask this questionPatient educationCan you create clear patient education material explaining a new diagnosis of type 2 diabetes?Ask this questionHandoff summaryCan you summarize the key evidence behind this patient's plan for a clinical handoff?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 teams use Arkangel AI

Shared protocols, patient education and handoffs, all from one evidence base.

Standardize a protocol

Turn a guideline into a concise quick-reference so every clinician on the team manages the condition the same, evidence-based way.

Educate the patient

Generate clear, accurate patient education for a diagnosis that your team can hand out with confidence.

Sharpen the handoff

Summarize the key evidence behind a patient's plan so sign-out and cross-cover stay aligned and safe.

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.

Security & Compliance

ISO 27001 Certified. HIPAA Compliant.

70+ security controls, penetration tested, and continuously monitored via Vanta.

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.

Explore the Compliance Center

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 does it help a team stay aligned?

It gives everyone the same cited summaries and protocols, so care doesn't vary by who happens to be on shift.

Can we trust the patient-facing material?

Education drafts are grounded in cited evidence, but a clinician should always review and tailor them before sharing with patients.

Does it cite its sources?

Yes. Protocols, summaries and handoff notes all carry citations so your team can verify the evidence behind every reference.

Explore related pages

AI for CliniciansAI for DoctorsClinical AI Assistant

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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