How does PatientDim handle changes in snapshot columns?

PatientDim is designed to capture and maintain historical data effectively by generating new rows in response to changes in snapshot columns. This behavior allows the model to create a complete historical record of patient information, which is essential for tracking changes over time.

When a snapshot column is updated—such as demographic information or status changes—rather than altering the existing row, PatientDim creates a new row to reflect the new information while preserving the previous state. This means that each patient's history is intact and can be referenced for analysis or reporting purposes, enabling healthcare providers to gain insights into trends and changes in patient care.

This functionality is particularly important in the healthcare field, where historical data can impact treatment decisions and patient outcomes. By generating new rows with updated information, the model ensures that data integrity is maintained while also allowing for comprehensive reporting on patient journeys and trends over time.