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Extracting Actionable Information From Patient Forums

Extracting Actionable Information From Patient Forums

Real-world evidence reported by patients themselves is an under utilized resource for pharmaceutical companies striving to remain competitive and maintain awareness of the effects of their drugs.

Health forums, such as PatientsLikeMe, provide a wealth of valuable information, but many current computational approaches struggle to deal with the inherent ambiguity and informal language used within them.

SciBite uses semantic analytics to transform the free text within patient forums into unambiguous, machine-readable data. This enables pharmaceutical companies to unlock the value of patient-reported data and make faster, more informed decisions.

To learn more, download the full use case.

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