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Objectives:
In the absence of in-person engagements, MSL teams have been inundated with data. In order to map out their HCP journey and customize their engagements, they need to extract insights from multiple private data sources such as scientific congress reports, advisory board meeting reports, collective insights from team members, medical inquiries, etc. Combining these private data insights with public data sources such as PubMed and Clinicaltrials.gov can seem overwhelming, but also promises a 360˚ view of target HCPs. One way to accomplish this data synthesis at scale and in real-time is through machine-learning. This webinar details features of machine-learning platforms that provide usability and reduce the barrier to adoption of these new technologies.
Webinar offers actionable steps MSLs and MSL teams can use to leverage data for successful KOL engagements in this new era of digital.
