Truveta Studio

Enabling scientifically rigorous research with powerful analytics

Research insights have been slowed by the inaccessibility of data, analytics not optimized for large EHR datasets, and opaque methodologies impeding trust

Truveta Studio is purpose-built for Truveta Data, enabling researchers to access precise and representative populations in seconds, study large populations with powerful analytics, and collaborate in real-time.

Trusted by leading life science, government, and healthcare organizations

Explore novel research powered by Truveta Data

Time-series analysis of first-time pediatric speech delays from 2018 to 2022

JAMA Pediatrics
Percentage change in body weight for those taking tirzepatide (Mounjaro) versus semaglutide (Ozempic) for those with overweight or obesity

Comparative effectiveness of semaglutide and tirzepatide for weight loss in adults with overweight and obesity in the US: A real-world evidence study

medRxiv

Modern Treatment of Pulmonary Embolism (USCDT Versus MT): Results From a Real-World, Big Data Analysis (REAL-PE)

JSCAI

Immediate access to data

Access representative patient-level data, without delays, for statistically significant populations.

Dynamically refresh populations to test inclusion/exclusion criteria in real-time.

Express clinically meaningful populations fast with Truveta Prose, the first language to express computable medical concepts.

Access representative patient-level data, without delays, for statistically significant populations.

Dynamically refresh populations to test inclusion/exclusion criteria in real-time.

Express clinically meaningful populations fast with Truveta Prose, the first language to express computable medical concepts.

Powerful analytics and AI

Analyze large populations using pre-installed notebooks with the latest medical statistics and visualization libraries, with full support for R and Python.

Learn from daily updating dashboards and visualizations for safety monitoring or ongoing analyses.

Develop, validate, and share AI models leveraging Truveta Data, proprietary data, and publicly available datasets.

Export data into your own existing environments, including SAS, Excel, and others.

As medical researchers, our goal to better understand and improve public health can’t be achieved alone. By collaborating with others and sharing up-to-date, detailed, large-scale data, we can answer questions that would otherwise take years to study. This collaboration with Truveta was an excellent example of that.

Anupam B. Jena, MD, PhD

Harvard University physician and economist, host of the Freakonomics, MD podcast, and author (with Christopher Worsham) of Random Acts of Medicine

Collaboration for trust and transparency

Accelerate research with thousands of clinical data definitions, templates, and studies to build upon within Truveta Library.

Easily share studies with others inside or outside your organization.

Earn trust in research with full transparency of methods and data for reproducibility.

Accelerate research with thousands of clinical data definitions, templates, and studies to build upon within Truveta Library.

Easily share studies with others inside, or outside your organization.

Earn trust in research with full transparency of methods and data for reproducibility.