NLP is being used to transform RWD into RWE in many pharmaceutical organizations, from real world data sources such as patient-reported outcomes in web forums, and customer call transcripts.

Comparing adverse event profiles from clinical trials with data from patient forums
AstraZeneca is using NLP text-mining to examine the differences in nausea adverse reaction (AR) frequencies in clinical trials versus AR frequencies in real-world occurrences, as noted in the patient forum PatientsLikeMe. Using NLP-based text mining, AstraZeneca researchers also extract nausea AR frequencies reported in clinical trials from FDA Drug Product Labels. They are then able to demonstrate the differences in reporting rates, including those due to differences in dosage and usage.

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