Clinical Endpoint Standardization

Increase the clinical signal in your data, at scale

Despite their importance, clinical endpoint data are often unstandardized, especially when data is sourced from electronic health records (EHRs), registries, or across health systems.

Unstandardized data forces researchers to manually and slowly comb through results to find patients and endpoints of interest. With Cornerstone, you can automatically standardize endpoint data across a range of important clinical outcomes, eliminating burdensome, time-consuming work for teams and freeing them up to generate more valuable insights.

The Impact

Cornerstone’s standardization algorithms dramatically enhance the usability and statistical signal of key clinical endpoints that matter for your research.

Capabilities

Improve the uniformity and the statistical signal in your data with flexible integration options and support for industry-standard terminologies for both real-world data and clinical trial data.

Supported Terminologies:

Diagnoses

ICD9, ICD10, Snomed, MedDRA

Medications

RxNorm, WHODrug, NCI Cancer regimen (oncology regimens)

Labs

LOINC (test names), UCUM (units)

Procedures

HCPCS

Histology

ICDO3

And More

E.g., NCI Cancer Regimen, Proprietary Terminologies

Get valuable insights out of your healthcare data more efficiently than ever.