TriNetX Data Sets

Explore real-world data from TriNetX in your own environment

About TriNetX Licensed Data Sets

To understand the patient journey, you may need to dive deeper than aggregate counts and means. Spanning domains from diagnoses to genomic variants, our data sets attribute every observation to a pseudonymized patient ID, encounter, and date, making it straightforward to build robust longitudinal pictures of today’s patients. We deliver the data in a universal, ready-to-use format—linked CSV tables—to give you the freedom to analyze on any application you choose.

TriNetX Data Sets

Linked Data Sets

Our linked data sets combine data sourced from EHR and insurance claims into a single, longitudinal record - for each one of the 11.2 million patients represented in both sources. Secure and rapid tokenization allows us to match EHR and claim records on a per-patient basis without ever accessing or exposuring personally identifying information. The result is a robust record that follows a patient across time and between providers, bringing demographics, clinical observations, treatment details, and costs under one view. By further linking with federal death registries and private obituaries, we support analyses of long-term survival in addition to the full array of HEOR, efficacy, and safety analyses.

Use Cases

  • Incidence and prevalence
  • Long-term safety and efficacy
  • Treatment patterns
  • Drug adherence and persistence
  • Burden of Illness
  • Cost of care
  • Disease Progression
  • Overall survival

Key Data Elements

  • Demographics
  • Diagnoses
  • Procedures
  • Medications
  • Labs
  • Encounters
  • Enrollment
  • Claim headers & lines
  • Costs
  • Rx fills

Use Cases

  • Conduct precise time-to-event analysis
  • Track in-clinic medications and procedures
  • Compare multiple cohorts at once, along any number of characteristics
  • Reconstruct individual patient histories
  • Follow changes in lab values
  • Train predictive models using thousands
    of well-represented patient co-variates

Key Data Elements

  • Demographics
  • Diagnoses
  • Procedures
  • Medications
  • Labs
  • Encounters