Business Intelligence in Health Systems features a carefully selected collection of academic readings that explore the intersection of business intelligence (BI) and healthcare, examining how BI tools and processes can enhance healthcare delivery. The anthology highlights the capabilities of BI systems to integrate disparate data sources, providing healthcare providers with unified dashboards for informed decision-making.

The text explores the adoption of health information technology and the socio-technical aspects of healthcare systems, including ethical considerations, patient safety, and quality improvement through data analysis and interoperability. It addresses themes ranging from technological advancements in healthcare to digital technology applications during the COVID-19 pandemic to varied applications of BI across business areas within the health sector.

This text is organized in multiple units, with each segment discussing different aspects of BI and its impact on healthcare quality and patient safety. It emphasizes transformative benefits such as enhanced clinical decision-making and improved efficiency alongside challenges like data security and user resistance. The book focuses on practical applications such as using big data analytics for informed healthcare management and the advancement of digital health technologies.

Business Intelligence in Health Systems is well suited for courses in healthcare management, health informatics, and information systems. Through its examination of real-world cases, it provides students with insights into the practical challenges and opportunities that BI brings to modern healthcare delivery and management.