- Powered by leading consumer data providers including hundreds of unique and insightful attributes.
- Supports analytic R functions such as decision trees and single variable distributions.
- Ability to build multi-variable demographic profiles on key patient segments for online and offline go-to-market activities.
Explore more patient attributes than ever before, all in a privacy-protecting manner
Unlock hidden consumer segmentations and key drivers of patient behavior by linking healthcare data and consumer data in a HIPAA-compliant platform.
Discover the fastest and most efficient way to network your healthcare data.
Traditional analytics such as patient adherence or disease progression have been hindered by the inability to accurately understand the demographic factors behind patient behavior. With HealthVerity Cipher, you can leverage our secure multi-party computing platform to analyze your healthcare data in concert with consumer data and unlock incredible insights in a fully HIPAA-compliant way. Take total control of your analytics process directly from your laptop and explore more of the patient journey.
Pharmaceutical clients are exploring more than ever before with HealthVerity Cipher
Use Case 1 - Pharmaceutical Client
Research question – What are the demographic characteristics of non-adherent patients who have a treatable, but otherwise debilitating disease?
Medical claims – Custom cohort of 25,000 patients that meet the diagnosis inclusion criteria licensed from HealthVerity Marketplace.
Pharmacy data – Prescription drug fill activity and/or eligibility linked to medical claims for each patient.
Consumer data – A package of demographic attributes that describe each member of the patient cohort.
A Pharma client built a custom cohort of non-adherent patients and using HealthVerity Cipher, a secure multi-party computing platform, virtually linked this data to consumer attributes for these patients. Leveraging decision tree tools, the client explored ethnic, education, income and transportation factors that directly influenced behavior for sub-cohorts of patients. Using these insights, the client evolved its marketing communications and co-pay programs to better address risk factors for non-adherence in the future.
Use Case 2 - Pharmaceutical Client
Research question – Are there demographic characteristics that impact the occurrence of certain diseases?
Medical claims – Custom cohort of 50,000 patients that meet the diagnosis inclusion criteria licensed from HealthVerity Marketplace.
Consumer data – A package of demographic attributes that describe the healthcare cohort including risk factors such as smoking, dietary habits and preference for exercise.
A Pharma client built a custom cohort of diagnosed patients and using HealthVerity Cipher, a secure multi-party computing platform, virtually linked this data to consumer attributes for these patients. Leveraging single variable distribution tools, the client isolated a number of demographic attributes that may offer causality and were not as well understood in prior research. Using these insights, the client developed strategies to better assess triggers and evolve its physician education efforts.