Atropos Evidence Agent

Atropos Evidence™ Agent is an AI agent developed by Atropos Health that integrates real-world evidence (RWE) directly into clinical workflows. It is designed for healthcare providers and clinical teams who need access to personalized, evidence-based insights at multiple points during the patient encounter, from pre-visit planning through post-visit care team collaboration.

The agent draws on Alexandria®, Atropos Health's proprietary evidence library containing over 33 million pre-generated Evidence Briefs (pEBFs), combined with published literature sources. This combination is reported to achieve an 88% "Answered with Evidence" success rate. Every personalized evidence result includes a quality assessment badge and rationale to support clinician trust in the applicability of the evidence.

Clinical Workflow Integration

• Supports evidence delivery across three stages of the clinical encounter: pre-patient visit, during the visit, and post-patient visit.
• Pre-visit: surfaces proactive evidence within the EHR to reduce physician planning time.
• During the visit: integrates with Microsoft Dragon Copilot and ambient documentation workflows to deliver personalized evidence immediately after the visit concludes.
• Post-visit: integrates with Microsoft Teams to enable on-demand evidence sharing for rapid shared decision making among care teams.
• Designed for compatibility with existing EHR platforms and ambient clinical workflows.

Evidence Content and Library

• Powered by Alexandria®, which contains more than 33 million pEBFs available as a proprietary novel content source.
• Combines Alexandria® content with published literature to improve the quality and frequency of high-quality answers.
• All evidence results include a quality assessment badge and rationale to help clinicians evaluate applicability to their specific patient.

AI Methodology and Model Performance

• Built on a methodology described in a published 2025 study, which details systematic testing and refinement of Atropos Health AI models.
• The approach is designed to reduce errors, eliminate hallucinations, and improve search performance.
• Each result is evaluated by the AI model to identify the most relevant and evidence-based answer for the clinical context.
• Uses expert LLM orchestration, calling multiple large language models per query and assessing responses to generate the best result.
• Generated results include an "Answered with Evidence" assessment indicating the relevance and volume of evidence supporting the answer for a particular patient.

Key Performance Indicators

• Over 33 million pEBFs in Alexandria® available to power clinical insights.
• 88% Answered with Evidence success rate when Alexandria novel content is combined with published literature.
• 100% of personalized evidence results include a quality assessment badge and rationale.

Atropos Evidence™ Agent is part of Atropos Health's broader suite of automation solutions, which also includes ChatRWD®, Green Button®, and Forge®. It is positioned for use within health systems across pharmacy, research informatics, value-based care, and graduate medical education contexts, as well as life sciences applications including HEOR, medical affairs, and RWE.