Healthcare data security and privacy in Data Warehouse architectures
Ranul Deelaka Thantilage, Nhien‐An Le‐Khac, M-Tahar Kechadi
Abstract
Data Warehouse (DW) is a common term used in the Data Mining process for storing copious amounts of data ready for analysis. Organizations are starting to prioritize Data Warehouses, which are essential for mining their historical datasets. In the healthcare industry, the significance of data warehouses escalates due to the critical nature of managing and processing medical data, which plays a crucial role in facilitating optimal healthcare delivery and in the generation of valuable insights. While clinical data is complex, its timely integration and analysis are crucial to providing excellent patient care. The research looks into providing an efficient data warehousing solution with multiple privacy and security measures integrated by design. Securing the data at all stages: during data input, exploration, pre-processing, selection, analysis, and presentation, is very challenging. This paper presents a holistic perspective focusing on possible data warehouse architectures, data types, data schemes, storage, security and privacy in a healthcare environment. We discuss existing DW architectures dedicated to clinical data and suggest the best DW approaches for clinical data warehousing.