Health Universe
Platform

The platform

AI-native Workspace

Isolated, compliant environment

Unified Patient Record

TEFCA + SMART on FHIR

Run Agents

Navigator, Routines, Roster

User

Role

EM

Dr. Elena Marsh

You

elena.marsh@oncologysuite.org

Admin

MR

Marcus Reed

marcus.reed@oncologysuite.org

Member

PS

Priya Shah

priya.shah@oncologysuite.org

Viewer

Explore Navigator

See how Navigator runs inside the clinical workflow

Use Cases

Oncology Suite

Records Summarization

Denial Avoidance

OncoEMR Visit Preparation

Schedule

Completed

·

116 runs

Sync OncoEMR Appointments

Summarize Each Appointment

Case study

How a cancer center scaled its oncology workflow

Who we serve

Customer story

Why leading health systems build on Health Universe

Company

New Research

Research

See the research behind the platform

Login

Request a Demo

Request a Demo

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Research

Case Study

Apr 2026

Accelerate Clinical Trial Setup from Months to Days with AI

How Duke Clinical Research Institute partnered with Health Universe to condense a 6-9 month process into 7.5 days, without sacrificing scientific rigor or regulatory integrity.

Publication

Mar 2026

TrialGPT Evaluation Report: Original vs. Agentic Approach

Health Universe's agentic pipeline matches TrialGPT's discriminative ability (ROC AUC = 0.736) while delivering higher precision, fewer false positives, and better clinical reasoning on a cancer patient cohort.

Benchmark

Mar 2026

Navigator Clinical AI Benchmark Results

Navigator's clinical reasoning layer outperforms GPT-5.2 on structured medical tasks across 9 MedHELM benchmarks, establishing a baseline advantage before any specialized agent is invoked.

Benchmark

Mar 2026

Agentic Clinical Trial Matching vs. TrialGPT

Health Universe's agentic pipeline achieves equivalent ranking accuracy with 21% higher precision, 8% better accuracy, and 37% fewer false-positive strong matches against the published state-of-the-art.

Report

Mar 2026

AI-Powered Clinical Data Extraction: Oncology Concept Extraction Pipeline

93.5% precision and 92.9% recall across 6 cancer types and 133 pathology documents — replacing hours of manual chart abstraction with near-instant, auditable, structured output.