Logical Data Model Explained | PMP Quality Planning Technique (EHR Example)

In this lesson, we explore the Logical Data Model, a key data representation technique used in Quality Planning as per the PMP framework. Join the bestselling courses: 🎓 PMP Course: https://www.udemy.com/course/pmp-certification-exam-prep-best-course/?referralCode=94C8A101F01FDF15F741 📊 Master Microsoft Project (Special discount for YouTube learners): https://www.udemy.com/course/microsoft-project-tutorial/?referralCode=2F4B7F9B32FAF6BB0C27 A Logical Data Model provides a business-level view of entities, attributes, and relationships — without being tied to any specific database or technology. It helps project teams translate business logic into structured, consistent data definitions, making it a powerful bridge between business and technical stakeholders. Using a Hospital EHR project example, this lesson explains: - What a Logical Data Model is (in simple terms) - Entities, attributes, and relationships - One-to-one and one-to-many relationships - Why Logical Data Models are database-agnostic - How this technique helps identify data integrity and quality risks - Where Logical Data Models fit in Quality Planning This is a conceptual PMP exam-relevant lesson, useful for: - PMP aspirants - Project managers working with IT or data-heavy projects - Professionals involved in quality planning and requirements definition