🇬🇧 A machine learning approach using Real World Data for site selection
Nov 16, 2022 | 6:00 PM CET - 6:30 PM CET
Nov 16, 2022 | 6:00 PM CET - 6:30 PM CET
Description
Clinical trials represent a significant investment with the drug development process.
Reducing the duration of clinical trials could have a significant impact on the development costs and could make treatments available to patients sooner.
This masterclass will introduce usage of internal, external, and real-world data to rank sites based on their expected performance.
By using claims, procedures, and pharmacy data, the identification of patient-site interactions allows to better understand which interactions contribute to the success of a clinical trial site.
This will lead to faster enrollment durations within clinical trials and bring the treatment to the patients faster.
