Claims-Linked EHR Data
Unlock the full patient journey through claims data linked with electronic health record (EHR)-derived clinical and outcomes data.
Address a broader set of research questions
By linking insurance claims data with our high-quality EHR data, we enable researchers to more clearly and completely understand patients’ experiences with cancer.
With more comprehensive real-world data across the treatment journey, researchers can go deeper and ask new questions about treatment patterns and sequences, health outcomes, cost of care, resource utilization, treatment adherence, and more.
Features
Disease-specific EHR data combined with medical and pharmacy claims
Sample EHR data variables
Data from electronic health records may include:
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Clinical characteristics (e.g., cancer stage, diagnosis, real-world progression)
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Treatment details and line of therapy
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Mortality data
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Cancer-specific prognosis factors (e.g., biomarker testing, sites of metastases)
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Labs and vitals information
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Clinic visits
Sample claims data variables
Claims data may include:
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Medical claims including billing codes for diagnosis, procedures, and services (e.g., CPT, ICD, and HCPCs)
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Pharmacy data
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Patient enrollment information
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Patient demographics
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Payer information
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Cost data including allowed amounts
Featured Resource
Here’s why we’re linking claims with our EHR data
More on how cancer researchers can accelerate cancer research through real-world claims-linked EHR data.
Use cases
Integrated EHR and claims data creates new possibilities
Treatment sequencing with outcomes
Evaluate treatment sequencing and patterns and health outcomes through comprehensive patient journey data.
Health economic and outcomes studies
Using patient characteristics to segment cohorts, analyze the clinical and economic value of treatments with data on drug costs, healthcare utilization, and clinical outcomes.
Total cost of care
Assess the total cost and benefit of a treatment by quantifying the potential cost savings associated with improved outcomes.
Comparative effectiveness
Compare treatment outcomes between specific cohorts.
Study the impact of clinical characteristics on treatment outcomes
Control for confounding variables through more comprehensive data on clinical characteristics such as concomitant medications and comorbidities.
Treatment and drug adherence
Evaluate patient processes of taking medication as prescribed with comprehensive and longitudinal treatment and drug utilization data.
Explore more integrated real-world evidence products
Flatiron’s customizable real-world data products integrate EHR-derived data with other data modalities.
Products and services include: