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.
Read the Pulse report: Closing the gap: new science, new HCP expectations
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