Description
Len Silverston presents a comprehensive guide that serves as a vital resource for those navigating the complex landscape of healthcare data modeling. The work delves into methodologies and best practices essential for creating effective data models in the healthcare sector, an area fraught with regulatory challenges and diverse information demands.
Drawing on real-world examples and insights, Silverston equips readers with the tools necessary to align their data strategies with organizational goals. His approach emphasizes the importance of clear communication and collaboration among stakeholders, ensuring that data models meet both technical and operational requirements.
The resource also highlights the significance of adaptability in data modeling, enabling organizations to respond swiftly to the dynamic nature of healthcare. By integrating practical application with theoretical foundations, Silverston provides a framework that not only enhances understanding but also fosters innovation in healthcare data management.
Drawing on real-world examples and insights, Silverston equips readers with the tools necessary to align their data strategies with organizational goals. His approach emphasizes the importance of clear communication and collaboration among stakeholders, ensuring that data models meet both technical and operational requirements.
The resource also highlights the significance of adaptability in data modeling, enabling organizations to respond swiftly to the dynamic nature of healthcare. By integrating practical application with theoretical foundations, Silverston provides a framework that not only enhances understanding but also fosters innovation in healthcare data management.
Book Details
Format
Hardcover
Language
English
Publisher
John Wiley & Sons
ISBN-10
0471441430
ISBN-13
9780471441434