Hear four experts from ICON and Kap Code provide insights on how to collect, use, analyze, and interpret social media data in different contexts.

Many new data are emerging in recent years - real time data is collected through digital health technologies, including apps and wearables, monitoring data, social media data, public datasets, and patient organization data, in addition to primary and secondary datasets.

Real life data are highly informative and can be used to address a range of challenges throughout the product life cycle. Data from social media can generate valuable insights as patients often gather in digital communities to get answers and share their experiences. Conversations on social networks merit special consideration as they can have real world influence over treatment management decisions.

Social media data can reveal the motivations that impact patient healthcare decisions and behaviors through each stage of the care pathway. These data provide both the patient and caregiver perspectives at the same time. For this reason, conversations on social networks offer an opportunity to deepen our understanding on:

• The fears and hopes associated with patient treatments
• Daily needs and difficulties patients are facing in managing their disease
• The impact of disease on patient health related quality of life
• Identification in real life of the stages of the care pathway and patient perceptions
• Reactions to health policies

These experts share knowledge from over fifteen years of successfully developing and adapting algorithms to treat this kind of data.

Who Should Attend?

This webinar will be particularly useful for cross-functional teams engaged in clinical research, including executives, directors and project leaders from pharma and biotech involved in clinical research conduct. Specific roles include:

• Research and development
• Clinical operations
• Clinical science
• Outcomes researchers
• Medical affairs
• Marketing