Affiliation and hierarchy management for pharma
Pharmaceutical commercial data is inherently fragmented with each source carrying its own affiliation signals that rarely agree.
Affiliation and Hierarchy Management (AHM) defines how healthcare entities relate to each other across organizational levels—from corporate parents and owner subsidiaries, to campuses, individual sites of care and affiliated prescribers. It captures the multilevel, dynamic nature of modern healthcare networks and provides a foundational layer that determines how the pharmaceutical commercial model understands its customers.
Getting this structure right has a direct impact on how organizations make and execute decisions across every commercial function. Without such a foundation, downstream processes operate on incomplete or conflicting data, impacting sales attribution, contracting, incentive compensation and field execution.
Given the limitations of fragmented data, static hierarchies and MDM-only approaches, pharmaceutical organizations need a purpose-built AHM capability.
This white paper offers considerations for creating a unified, rules-driven and scalable approach to building a high-fidelity hierarchy, including:
- Understanding the differences between master data management and third-party data and how they are used with AHM
- How to ensure a unified framework delivers data integrity, commercial effectiveness, contracting strategy and pull-through, governance and compliance, scalability and shared hierarchy configurable rules
- Recommended hierarchy for five differentiated levels of an AHM build, each with different sets of connected datasets
- How to create data visualizations, standardizations, business rules, governance, operating models and system architecture
Download the white paper to learn examples and strategies for creating an AHM framework that enables accurate insights, consistent execution and improved commercial outcomes.
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