Datavant

Datavant's data collaboration platform and health data network connect, protect, and activate health data through privacy-preserving linkage and a real-world data ecosystem. Its analytics and scientific services support population analysis, RWE studies, medical-record abstraction, epidemiology, and HEOR evidence.

Connect and Link Real-World Data

• Connect datasets at the individual level while preserving patient privacy. Datavant Connect de-identifies and tokenizes data, matches patient records, and connects datasets in one platform. Datavant Trials links clinical trial data to real-world data, Datavant Match uses machine learning for high-accuracy record matching, and Datavant Assess shows the overlap between datasets before a data partnership.
• Find, assess, and connect to real-world data from hundreds of partner organizations through Datavant's real-world data ecosystem. Privacy Hub's privacy experts provide HIPAA Expert Determinations and statistical risk support.

Analyze Populations and Generate Evidence

• Build patient populations from clinical concepts such as diagnoses, therapies, and scores, then apply measures and templated cohorts to filter datasets and identify populations.
• Plan and analyze real-world evidence studies through a unified RWE platform, including descriptive, comparative effectiveness, prevalence and incidence, and adherence study workflows.

Support Studies and Value Evidence

• Retrieve and abstract medical record data to create longitudinal data assets, supporting patient intake, record retrieval, abstraction, data delivery, and optional privacy-preserving linkage to other real-world data sources.
• Link clinical data with real-world claims, EHR, and laboratory data at the patient level to demonstrate outcomes and reduced cost of care. Datavant’s scientific services also support RWE strategy, study design, and epidemiology.

Best Fit

• Life-sciences teams that need to connect real-world datasets, identify patient populations, and conduct reproducible evidence analyses across clinical and claims data.
• Research and evidence teams requiring medical record abstraction, epidemiology services, comparative effectiveness workflows, or linked data for HEOR and access evidence.