Element / Data Governance - Identifying Primary Healthcare Affiliations via ML
Identifying Primary Healthcare Affiliations via ML
Problem :
Healthcare professionals were often associated with multiple organizations, but no system accurately identified the primary affiliation, leading to ambiguity in analytics and customer segmentation.
Solution :
Built a machine learning-based solution to detect the most relevant organizational affiliation for each HCP. The model analyzed relationship strength and behavioral indicators to determine primary alignment.
Outcome :
Data precision improved, allowing more targeted campaigns, accurate reporting, and enhanced relationship management across the MedTech ecosystem.