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

Watch this webinar for insights on how to collect, use, analyze, and interpret social media data in different contexts. Our experts share knowledge from over fifteen years of successfully developing and adapting algorithms to treat this kind of data.

Key Topics:

  • The why, when, what and how of social media data use

  • Different types of successful projects using this data

  • How to think critically about its use

  • The do’s and don’ts on communicating social media data results

Elodie de Bock, PhD
Senior Principal, Patient Centred Outcomes, ICON
Elodie de Bock combines more than 15 years’ experience in life sciences and health research, with significant expertise in the analysis of clinical outcomes assessments (COA) data. At ICON, she leads the Patient Centred Outcomes (PCO) Quantitative Centre of Excellence.
Valentin Barbier, MSc
Research Associate II, Patient Centred Outcomes, ICON
Valentin Barbier joined the Patient Centred Outcomes (PCO) team at ICON in 2019. His role involves performing analyses of clinical outcomes assessments (COA) data from clinical and epidemiological studies, with significant expertise in Natural Language Processing that he applies to extract information from qualitative patient interviews.
Adel Mebarki, MBA
General Manager and Co-Founder, Health Technology, KapCode
Adel Mebarki has both technical and managerial skills acquired through his engineering and business school degrees. Adel has more than 9 years of experience in projects related to Big Data and artificial intelligence. His work has made him a recognized expert in the world of digital health.
Joelle Malaab, MSc, MPH
International Project Manager, Health Technology, Kap Code
Joelle Malaab holds two master’s degrees: a master in Nutrition & Food Science from the University of Reading (UK) and most recently, a Master of Public Health from the Ecole des Hautes Etudes en Santé Publique in Paris, France. Her concentration revolved around management, health policies, and social and behavioral sciences.
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