What is a common challenge when implementing the Caboodle Data Model in healthcare organizations?

A common challenge when implementing the Caboodle Data Model in healthcare organizations is integrating diverse data sources with varying formats and standards. Healthcare systems often include multiple platforms, such as electronic health records (EHR), billing systems, laboratory information systems, and more. Each of these systems may store data in different formats and adhere to various standards, which can complicate the integration process.

When data sources do not align in terms of structure, semantics, or technology, it becomes challenging to create a cohesive model that accurately reflects the healthcare organization's needs. This can lead to data silos, inconsistencies, and difficulties in generating comprehensive analytics that depend on a unified view of patient data. Addressing these integration issues is essential for achieving a functional and effective Caboodle Data Model that supports data-driven decision-making within the organization.