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Quantifying Fit-for-Purpose in Real World Data: Data Grading and FitQ Scores

2024-02-05 health informatics Title + abstract only
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Real-world evidence (RWE), derived from analysis of RWD, is increasingly used to guide decisions in drug development, regulatory oversight, and clinical decision-making. Evaluating the fitness-for-purpose of RWD sources is one key component to generating transparent RWE. Here, we demonstrate tools that fill two gaps in the data grading literature. These are the need for quantitative data grading scores, and the need for scoring mechanisms that can be run in automated fashion and at scale. The Re...

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