Improving drug safety by detecting weak signals on social networks

KC_LB_Levothyrox_weak signals
KC_LB_Levothyrox_weak signals
The experience shared by patients on social networks allows to highlight their care pathways. Weak signals can be detected within these testimonies and taken into account before the appearance of more important events in real life.

Social networks have revolutionized the digital scene in recent years. Constantly evolving, and used by more than 50% of the world's population[1], these communication platforms have taken on a huge role in our daily lives.

Indeed, many users -including patients, caregivers and health professionals- express their experiences with a disease and its associated treatments, or resort to online communities to ask questions about their specific case. On the periphery of these exchanges, weak signals regarding a treatment may appear. However, these signals -admittedly weak- can unexpectedly reach a tipping point; they are the link between online phenomena and offline behaviour.

The boundary between social networks and real life is becoming increasingly thin. Online weak signals can therefore be precursors of real events. The objective of this white paper is to show an example of how offline events could have been predicted by the online detection of weak signals, more specifically in the field of health, with a case study based on Levothyrox®.

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[1] Kemp, S. (2023). Digital 2023 : Local Country Headlines Report — DataReportal – Global Digital Insights. DataReportal – Global Digital Insights.

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