Abstract: A computer-based real-world evidence (CRWE) solution that can handle disparities in real-world data (RWD) that might otherwise not be combinable or that might originate from disparate or heterogeneous sources. The CRWE solution is designed such that it can build up RWD data from the ground up (for example, from the atomic level) into a canonical relational database by converting or linking the raw RWD data to its canonical versions such that reliable canonical answers can be mined from large datasets and consistently provided in response to queries to the solution for an answer. The CRWE solution is designed to gather and analyze large amounts of RWD data from heterogeneous, multi-national, and unverifiable data sources, and provide canonical results that are constituently reliable and can expose, for example, clinically-significant correlations between medical products or treatments and outcomes.

Abstract: A computer-based real-world evidence (CRWE) solution that can handle disparities in real-world data (RWD) that might otherwise not be combinable or that might originate from disparate or heterogeneous sources. The CRWE solution is designed such that it can build up RWD data from the ground up (for example, from the atomic level) into a canonical relational database by converting or linking the raw RWD data to its canonical versions such that reliable canonical answers can be mined from large datasets and consistently provided in response to queries to the solution for an answer. The CRWE solution is designed to gather and analyze large amounts of RWD data from heterogeneous, multi-national, and unverifiable data sources, and provide canonical results that are constituently reliable and can expose, for example, clinically-significant correlations between medical products or treatments and outcomes.

Abstract: A computer-based real-world evidence (CRWE) solution that can handle disparities in real-world data (RWD) that might otherwise not be combinable or that might originate from disparate or heterogeneous sources. The CRWE solution is designed such that it can build up RWD data from the ground up (for example, from the atomic level) into a canonical relational database by converting or linking the raw RWD data to its canonical versions such that reliable canonical answers can be mined from large datasets and consistently provided in response to queries to the solution for an answer. The CRWE solution is designed to gather and analyze large amounts of RWD data from heterogeneous, multi-national, and unverifiable data sources, and provide canonical results that are constituently reliable and can expose, for example, clinically-significant correlations between medical products or treatments and outcomes.