In Health Cloud, what does the term ‘data virtualization’ typically mean?

The term ‘data virtualization’ in the context of Health Cloud refers to linking various data sources to create a unified view. This approach enables healthcare organizations to access and analyze patient data from multiple systems without needing to physically move or replicate the data. By providing a real-time, integrated view of information, data virtualization enhances decision-making and streamlines workflows for healthcare providers.

This capability is particularly valuable in the healthcare sector, where patient data often resides in disparate systems such as Electronic Health Records (EHR), practice management software, and external databases. By using data virtualization, healthcare professionals can obtain a comprehensive perspective on patient health and care-related information, which is crucial for improving patient outcomes and coordinating care efficiently.

In contrast, the other options involve different processes that do not align with the definition of data virtualization. Creating data backups pertains to data preservation, encryption focuses on securing data, and data cleansing involves correcting or removing inaccuracies from data sets. While these processes are important in data management, they do not encompass the essence of data virtualization.