About Truveta

Truveta provides regulatory-grade electronic health record (EHR) data linked with social determinants of health, mortality, and claims data for over 120 million patients, enabling scientifically rigorous research. The platform addresses the need for high-quality, comprehensive data to support evidence generation in clinical trials, public health initiatives, and healthcare quality improvement.

```xml <problem> Generating evidence for clinical trials, public health initiatives, and healthcare quality improvement is often hindered by the lack of access to comprehensive, high-quality electronic health record (EHR) data. Existing datasets may lack crucial information on social determinants of health (SDOH), mortality, and claims data, limiting the scope and rigor of research. </problem> <solution> Truveta provides regulatory-grade EHR data linked with SDOH, mortality, and claims data for over 120 million patients, facilitating scientifically rigorous research. The platform offers complete EHR data, including clinical notes and images, to enable exploration of research-ready data with unprecedented clinical depth. Truveta Studio provides immediate access to this data, along with powerful analytics and AI tools, to generate evidence suitable for regulatory submission. The Truveta Language Model (TLM), a large-language, multi-modal AI model, transforms EHR data into billions of clean and accurate data points for health research on patient outcomes. </solution> <features> - Regulatory-grade EHR data linked with SDOH, mortality, and claims data - Access to over 120 million patients' data - Complete EHR data including clinical notes and images - Truveta Studio for immediate data access, analytics, and AI - Truveta Language Model (TLM) for transforming EHR data into research-ready data points - Support for research in safety, health economics and outcomes research (HEOR), public health, clinical trials, care quality, market access, and research & development - Data from a growing collective of 30 health systems </features> <target_audience> The primary target audience includes life science organizations, government agencies, academic institutions, health systems, and research organizations seeking to accelerate discovery and improve patient care through comprehensive real-world data. </target_audience> ```

What does Truveta do?

Where is Truveta located?

Truveta is based in United States.

When was Truveta founded?

Truveta was founded in 2020.

How much funding has Truveta raised?

Truveta has raised 440000000.

Location

United States

Founded

2020

Funding

440000000

Employees

336 employees

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Truveta

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Executive Summary

truveta.com 50K+

Crunchbase

Founded 2020 – United States

Funding

Estimated Funding

$200M+

Team (250+)

No team information available.

Company Description

Problem

Generating evidence for clinical trials, public health initiatives, and healthcare quality improvement is often hindered by the lack of access to comprehensive, high-quality electronic health record (EHR) data. Existing datasets may lack crucial information on social determinants of health (SDOH), mortality, and claims data, limiting the scope and rigor of research.

Solution

Truveta provides regulatory-grade EHR data linked with SDOH, mortality, and claims data for over 120 million patients, facilitating scientifically rigorous research. The platform offers complete EHR data, including clinical notes and images, to enable exploration of research-ready data with unprecedented clinical depth. Truveta Studio provides immediate access to this data, along with powerful analytics and AI tools, to generate evidence suitable for regulatory submission. The Truveta Language Model (TLM), a large-language, multi-modal AI model, transforms EHR data into billions of clean and accurate data points for health research on patient outcomes.

Features

Regulatory-grade EHR data linked with SDOH, mortality, and claims data

Access to over 120 million patients' data

Complete EHR data including clinical notes and images

Truveta Studio for immediate data access, analytics, and AI

Truveta Language Model (TLM) for transforming EHR data into research-ready data points

Support for research in safety, health economics and outcomes research (HEOR), public health, clinical trials, care quality, market access, and research & development

Data from a growing collective of 30 health systems

Target Audience

The primary target audience includes life science organizations, government agencies, academic institutions, health systems, and research organizations seeking to accelerate discovery and improve patient care through comprehensive real-world data.