System
Clinical Graph

A patented knowledge graph that dissolves silos in your data architecture and powers novel models and decision support tools

The first multi-scale, quantitative systems model of human health

Trusted by the industry’s foremost health systems and technology partners

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Health is a system, but healthcare data and knowledge are fragmented and decontextualized.

Deploying new tools on outdated foundations won’t improve outcomes.

Now, there’s a new way to bring it 
all together for better care.

Health is a system, but healthcare data and knowledge are fragmented and decontextualized.

Deploying new tools on outdated foundations won’t improve outcomes.

Now, there’s a new way to bring it all together for better care.

Leading the market

Jun 17, 2026

System Health Leads the Industry in Accuracy on MedQA

David Kang, Eugénie Dulout

Outperforming OpenAI, Anthropic, OpenEvidence, and UpToDate, and tying with Google.

Read more..
Source: 

Tech

Announcements

Health

Dec 11, 2025

System Synthesize Scores 100% on United States Medical Licensing Examination (USMLE)

Chethan Gangireddy, M.D., Eugenie Dulout

Synthesize reached a major milestone, achieving 100% accuracy on the USMLE Step 1, Step 2 CK, and Step 3

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Source: 

Tech

Health

Oct 2, 2025

System’s Evidence Synthesis Leads in Accuracy

Patrick Wedlock

A blind study that asked clinicians to provide real-world clinical questions and score the accuracy of responses generated by System's Synthesize API

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Source: 

Tech

Health

"In our AI4HealthyCities initiative, we aim to identify and address the key drivers of cardiovascular health to improve outcomes and inequities. System helps us to quickly synthesize vast amounts of published insights and understand and quantify relationships between determinants and outcomes. In combination with local data, this provides vital information to develop population health roadmaps.”

Peter Speyer
Head of Data & Analytics
The Novartis Foundation

“System helps us to quickly synthesize vast amounts of published insights and understand and quantify relationships between determinants and outcomes. In combination with local data, this provides vital information to develop population health roadmaps.”

Peter Speyer
Head of Data & Analytics
The Novartis Foundation

“System helps us to quickly synthesize vast amounts of published insights and understand and quantify relationships between determinants and outcomes. In combination with local data, this provides vital information to develop population health roadmaps.”

Peter Speyer
Head of Data & Analytics
The Novartis Foundation

Medical Advisory Board

Paul Rothman, MD
Paul Rothman, MD

Former Dean, Johns Hopkins University School of Medicine; CEO, Johns Hopkins Medicine

Andrew Trister, MD PhD
Andrew Trister, MD PhD

Chief Medical & Scientific Officer, Verily

Michael Sherman, MD, MBA
Michael Sherman, MD, MBA

Former Executive Vice President & Chief Medical Officer, Harvard Pilgrim Health Care and Tufts Health Plan

Suraj Kapa, MD
Suraj Kapa, MD

Associate Professor of Medicine, Mayo Clinic
Medical Director, AI Clinical Trial Matching

Katherine Van Loon, MD, MPH
Katherine Van Loon, MD, MPH

Professor of Clinical Medicine, UCSF; Editor in Chief, American Society of Clinical Oncology, JCO Global Oncology

See our Board & Advisors

From silos to systems

Model any

Patient

As a system
Model any

Disease

as a system
Model any

Population

as a system

Platform Overview

The System Clinical Graph is a foundational knowledge and context management platform for healthcare AI models and decision support tools

Functionality

Extracts and grounds biomedical research and real-world evidence, integrates a health system’s electronic health record data, and links them in a connected web of evidence-based relationships

Components

Knowledge base of findings
Interoperability
Semantic concepts
APIs and MCP

Integration

Architecture

Extracts evidence daily from verified sources and links them with your data

Benefits

Built on peer-reviewed science

Evidence extracted from research publications, clinical guidelines and expert-curated databases, and experimental trials

Continuously updated using AI

Rigorous AI-enabled pipeline extracts and analyzes findings every 24 hours, with 316 new findings added on average daily

System-level pattern recognition

Goes beyond symptom-based insights to uncover multi-system interactions and hidden patterns that drive health and disease

Evidence linked across scales and specialties

Maps relationships across molecular, physiological, and clinical levels, with thousands of disease areas and specialty conditions represented

Provisions personalized decision-making

Converts a patient's EHR data into a contextualized evidence profile in seconds

Clinically validated

Advanced AI drives discovery, while panels of clinical experts ensure accuracy and relevance in real-world practice, reducing risk and ensuring governance

CONSTANTLY EVOLVING

As of today, the System Clinical Graph surfaces 6,125,160 relationships between clinical entities, based on data extracted from millions of verified sources, including peer-reviewed studies and expert-curated databases.

Imagine what surfaces in a systems-level view of every patient and every disease.

What’s possible when it’s all connected and contextualized?

Evidence synthesis
Differential diagnosis
Precision care
Compounded capabilities
Behavioral interventions
Novel AI applications and models
Guideline concordance
Triage

Publications

TECHNICAL WHITE PAPER

System HIPAA Compliance

How System ensures compliance with HIPAA

RESEARCH PAPER

Diagnostic Benchmarking

Our work on AI-ready clinical data, presented at ICML 2026

COMING SOON: pREPRINT

Differential Diagnosis

Demonstrating performance on high-value clinical decision support

What would you model as a system?

Ready to see health as it truly is—connected, dynamic, and deeply intelligent?