Resources

Adoption of real-world evidence for regulatory decisions remains slower than necessary to meet growing industry demands. Truveta and Citeline surveyed life sciences leaders to uncover key barriers and opportunities for using real-world data in FDA submissions. This report highlights five critical insights from the survey and how Truveta is advancing regulatory-grade RWD.

Many research questions can’t be fully answered without the detailed insights hidden in clinical notes. Truveta unlocks data from over 5 billion notes and integrates these datapoints with semi-structured EHR data, enabling novel research on safety, effectiveness, and more.

GLP-1 medications are revolutionizing the way we treat type 2 diabetes and obesity. With Truveta Data, researchers gain access to RWD that provides comprehensive insights, addressing critical questions about the real-world performance of GLP-1 therapies.

Understanding the link between maternal health and child outcomes is crucial for advancing both maternal and pediatric care. Truveta’s dataset includes daily updated data from over 1 million mother-child pairs, providing critical insights into how maternal health, behaviors, and exposures influence child outcomes.

The lack of treatment evolution for heart failure (HF) is partly due to the difficulty and cost of studying complex inpatient interventions. This case study highlights how Reprieve Cardiovascular, a clinical-stage startup focused on decongestion for HF, partnered with Truveta to understand the current standard of care for HF to de-risk their pivotal clinical study and optimize trial protocols.

The FDA supports using real-world evidence for regulatory decision-making but stipulates that the underlying data must be fit for purpose. This briefing highlights Truveta’s approach to ensuring high-quality, fit-for-purpose EHR data and streamlining real-world evidence submissions to regulatory authorities.

One in 8 men will develop prostate cancer, yet real-world datasets often fail to capture the full prostate cancer patient journey, early-stage treatments, and all treatment modalities. Truveta’s complete, longitudinal EHR data spans care settings and treatment types. This briefing highlights data available to support prostate cancer research and innovation.

Despite promising clinical data for novel pulmonary embolism therapies, there are no randomized prospective studies comparing them and guidelines have not been updated to reflect real-world safety data. This case study showcases findings from a peer-reviewed study using Truveta Data to compare the safety of devices from Boston Scientific and Inari Medical.

Unlocking the full potential of healthcare data has long been hindered by issues of fragmentation and lack of structure. The Truveta Language Model (TLM) offers a premier solution for normalizing EHR data at scale, enabling novel research. This briefing highlights what sets TLM apart from general large language models.

Echocardiograms contain crucial clinical observations relevant for cardiovascular research, but obtaining these measures at scale for real-world data analysis has been a longstanding challenge. This briefing highlights how Truveta is normalizing and extracting echo observations at scale for research, and outlines data availability for specific measures.

Timely data are critical for life sciences and healthcare organizations, enabling innovation and high-quality patient care. However, most RWD sources have lags of weeks to months. This briefing focuses on Truveta’s real-time data and showcases the clinical questions it enables researchers to answer.

Peripheral Artery Disease (PAD) is a common disease that causes the narrowing of the arteries in the extremities. As part of PAD Awareness month, Truveta Research investigated disparities in the frequency of common procedures used to treat PAD, known as endovascular (or minimally invasive) revascularization, and the associated outcomes.

This on-demand webinar demonstrates how regulatory-grade EHR data from over 120 million patients, including clinical notes and images, can overcome challenges in studying underrepresented populations, like pregnant people.

Explore how linked EHR and SDOH data are accelerating the identification of health disparities for type 2 diabetes, Alzheimer’s disease, and heart disease treatments

See the results of a real-world GLP-1 comparative effectiveness study and the impact of timely and representative RWD in assessing performance of new therapies.

Hear from experts at UCB and Truveta as they demonstrate the power of Truveta’s AI-driven extraction of critical information from free text clinical notes to further research at UCB.

Partnering with Fierce Pharma, hear from an expert panel on the power of unprecedented data and what early patient insights have been unveiled.