For emergency medicine

Guideline-backed emergency answers at the bedside

Ask about current sepsis criteria and the first-hour bundle, the differential for acute dyspnea, or chest-pain risk stratification and get a concise, sourced answer built for the pace of the ER.

Start with a real clinical question

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

Sepsis criteriaWhat are the current criteria to identify sepsis, and what does the first-hour bundle involve?Ask this questionAcute dyspneaHow should I approach the differential diagnosis of acute dyspnea in the emergency department?Ask this questionChest pain workupWhat is the initial workup and risk stratification of acute chest pain in the emergency department?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

What you can ask in emergency medicine

From time-critical resuscitation to risk stratification, grounded in current evidence.

Sepsis recognition

Apply current criteria to identify sepsis and septic shock and walk through the first-hour bundle, from lactate and cultures to fluids and antibiotics.

Acute dyspnea

Structure the differential for acute dyspnea in the ER, distinguishing heart failure, PE, pneumonia, COPD and asthma and the workup that separates them.

Chest pain risk stratification

Frame the initial workup of acute chest pain, from ECG and troponin to validated risk scores that guide disposition and rule-out pathways.

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

Does Arkangel AI cite its emergency medicine sources?

Yes. Every answer links to the peer-reviewed studies and guidelines it draws from, so you can verify the evidence before acting.

Is it fast enough for the ER?

Yes. Arkangel AI returns a concise, cited answer in seconds, built for time-critical decisions, though it supports rather than replaces your bedside judgment.

Is this a replacement for clinical judgment?

No. Arkangel AI is clinical decision support. It accelerates evidence retrieval but does not replace your assessment of the individual patient.

Explore related pages

AI for CardiologistsAI for Internal MedicineAI for Differential DiagnosisAI for Doctors

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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