Veeva Crossix Data Platform

The Industry’s Largest Connected Health, Media, and Consumer Data Network

World-class technology platform built for the development and delivery of large-scale patient data and analytics.

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The Industry’s Most Comprehensive Data Network

Our modern approach to analytics uses technology to combine large-scale data sets in a privacy-safe way. The Crossix Data Platform includes Rx, clinical, claims, consumer, hospital, media data, and more, representing more than 300 million health lives.

300M+

US patients

99%

of all US HCPs

60B

prescription and medical records

Our Data at a Glance
Prescriptions
  • Patient (age, gender, geo)
  • Rx (date, product, quantity, number of refills)
  • Prescriber (HCP/specialty, office visit, date)
  • Cost (payment type, payer info)
  • Pharmacy (specialty payer/payer type)
Clinical and EHR
  • Medical history (treatment history, doctor visits)
  • Patient (BMI, weight, blood pressure, cholesterol level, diagnosis)
  • Physician notes
  • Lab and test results
  • Real-World Data (RWD)
Medical Claims
  • Diagnosis
  • HCP administered drugs (injections, vaccinations, intravenous drugs)
  • Procedures
Specialty and Mail Order
  • Drugs distributed through specialty pharmacies
  • Pharmacy information (specialty payer/payer type)
  • eRx information
Hospital and Patient
  • Drugs, diagnoses, tests, labs and procedures conducted in hospital/inpatient setting
  • Re-hospitalization
  • Longitudinal linkage of outpatient and inpatient treatment
Media and Marketing
  • TV (set-top box data)
  • Print (subscriptions)
  • Digital advertising (cross-internet, publishers)
  • POC (HCP offices)
  • EHR/HCP messaging (EHR companies)
  • CRM systems (client’s database vendors)
  • Sales activity (client sales calls)
Consumer Demographics
  • Demographics (age, race, profession, marital status, gender, geo, children in HH, education)
  • Financials (credit cards, investments, income, home value)
Interests and Activities
  • Interests (health interests, travel, pets, social network activity, hobbies)
  • Activities
Purchasing Behavior
  • Media preferences (propensity to buy over certain channels – internet, mail, phone, TV, etc)
  • Buying and shopping activity