Enhanced Datamart
Analyze key aspects of the patient journey with clinically deep oncology real-world data
Enhanced Datamarts (EDMs), are longitudinal, de-identified real-world dataset subscriptions sourced from electronic health records that are refreshed monthly with 30-day recency. EDMs offer deep clinical data models curated by disease including histologic information, detailed treatment and testing details, and scientifically validated endpoints like real-world progression and mortality.
22 disease-specific data models
EDMs contain a combination of structured and more sophisticated abstracted, derived, and extracted data elements for 22 different cancer types:
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Acute myeloid leukemia
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Early breast cancer
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Metastatic breast cancer
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Chronic lymphocytic leukemia
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Metastatic colorectal cancer
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Diffuse large B-Cell lymphoma
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Advanced endometrial cancer
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Follicular lymphoma
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Advanced gastric/esophageal cancer
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Advanced head and neck cancer
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Hepatocellular carcinoma
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Mantle cell lymphoma
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Advanced melanoma
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Multiple myeloma
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Early non-small cell lung cancer
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Advanced non-small cell lung cancer
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Ovarian cancer
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Metastatic pancreatic cancer
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Metastatic prostate cancer
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Metastatic renal cell carcinoma
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Small cell lung cancer
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Advanced urothelial carcinoma
Multinational datasets
Our multinational datasets contain a combination of structured and unstructured data elements for the below cancer types with additional indications planned for 2025 based on customer demand. Ex-US and multi-country data is available via our Trusted Research Environment, ensuring full compliance with local regulatory requirements including GDPR and APPI.
| Disease name | UK | Germany | Japan |
|---|---|---|---|
| Breast cancer |  |  |  |
| Non-small cell lung cancer | | | |
| Prostate cancer | | | |
| Colorectal cancer | | | |
| Gastric cancer | | ||
| Diffuse large B-cell lymphoma | | | |
| Small-cell lung cancer | | | |
| Bladder cancer | | | |
| Multiple myeloma | | | |