Briefing

Advancing real-world data analysis using AI

An estimated 95 percent of daily healthcare data produced by hospitals goes unused – largely because it is fragmented, inaccessible, and unstructured. Having access to complete, research-ready data from Electronic Health Records (EHRs) at scale would unlock a tremendous range of opportunities to advance research, innovation, and patient care.

Recognizing this opportunity, Truveta developed its own large language, multi-modal model called the Truveta Language Model (TLM), which cleans billions of clinical data points with industry-leading precision. TLM eliminates the need for researchers to clean and standardize data before conducting analyses, accelerating the pace of learning in healthcare.

Download the briefing for insight into:

  • Why TLM surpasses traditional large language models in accuracy and efficiency
  • The critical role of TLM in processing vast volumes of healthcare data
  • The unique features and advantages of TLM that set it apart as a vital tool for advancing research and innovation

Read the briefing now