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