Data Curation Engine
Curating disease relevant clinical data at scale to inform your product needs
Extracting the Richness of Real-World Data for a
360° Patient View
Tap into a unique 360° view of the patient experience through the power of our proprietary data curation engine. Target RWE’s machine learning (ML) and natural language processing (NLP) powered technology enables disease-relevant data processing at scale, connecting clinical data points from diverse sources - such as our registries, digital collection of PROs & ClinROs, and claims data.
Target RWE's data curation engine comprises a robust automated platform for ingesting, standardizing, normalizing, and applying clinically relevant rules to curate and impute clinically relevant variables.
Delivering Deep, Reliable Data with
Human-in-the-Loop Validation
Our ML and NLP models, with a human-in-the-loop source data verification process, provide our partners with complete data and trusted insights. Our intelligent data curation technology supports the rapid processing and composition of regulatory grade data from multiple discrete data sources through a unique combination of:
-
Integration of manually elicited data with automated elicited data
-
Manual abstraction for human-in-the-loop validation and algorithm training
-
Processing to generate database of disease relevant analytic ready variables
-
Incrementally adding data as new sources become available
-
Deriving inferences for missing data
-
Imputing disease relevant data elements
-
Medical-grade patient journey insights while maintaining patient privacy with de-identification
-
Deep, regulatory-grade, linkable data for consented patients
Link Structured and Unstructured Data to Complete
Patient Journeys
Target RWE’s proprietary technology empowers us to ingest a diverse type, range, and scope of data from many sources and locations – all on a timely basis.
Linkable
Clinical data points from structured and unstructured data are linked to longitudinal patient journeys.
Customizable
Patient cohorts and research grade, fit-for-purpose datasets can be customized to client use cases, with all relevant clinical signals linked to building a complete patient picture.
Connected to Target RWE Registries
Our data curation engine supports our unique retrospective and prospective patient registries, which can link to external data sources, to create a comprehensive database of patient data that can inform the trajectory of your product or research program.
Interested in Our Data Curation Engine?
By Submitting this form, you consent to your information used by Target RWE for the purpose of contacting you to better understand your potential interest in Target RWE and/or its services. For more information, see our privacy policy.