for indications of interest at the de-identified patient level
across patient cohorts from all therapeutic areas, including rare diseases
by quickly understanding the impact of different inclusion and exclusion criteria
define custom variables unavailable in traditional real world healthcare datasets in order to generate real world evidence (RWE)
Perform powerful code-free analyses on patient populations of interest to gain aggregate insights based on all patient records.
Develop and run custom analytics on de-identified, individual patient-level data, licensed at the cohort level.
Enrich individual patient-level clinical data with ECGs, radiology images (MRIs, CTs, PETs) and digital pathology, available today! Genomic data from panels are available today with whole exome sequencing coming soon.
Build patient cohorts based on inclusion and exclusion criteria. View and analyze information about the cohort compared to the full population or by comparison to another cohort by viewing demographic information, medication volume, procedures and more.
Workspaces is an advanced data science workbench with access to infrastructure and tools to provision computing resources, analyze record-level patient information, and gain insights to customized questions.Learn more
Explore the underlying data dictionary and schema. Understand what data columns are available and what their fill rates are.
Read individual patient notes and visualize a timeline of their events.
Quickly explore structured data for patients with a given disease or drug. View patient counts and distributions for the number of encounters, time since last visit, and data availability on lab tests, procedures, orders, and much more, across the searched population.
See how often any search term (e.g. a disease, drug, or any other word) is mentioned across all patient notes, and identify related concepts. Identify patients fitting criteria that has not been captured in structured data.
View cohorts you have created and edit tags or descriptions for that cohort.
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