Using Predictive Analytics To Improve Healthcare Outcomes

• $112.00
• 1 mg
• Wiley.com

Using Predictive Analytics to Improve Healthcare Outcomes offers a structured, 16 step framework for applying predictive analytics and related quantitative methods to healthcare operations. Drawing on real world case studies, it demonstrates how data driven models can clarify complex clinical and organizational challenges while guiding decisions that are aligned with quality, safety, and efficiency goals. By following this approach, healthcare organizations can more effectively anticipate needs, allocate resources, and monitor performance across diverse care settings. The book situates predictive analytics within a broader context that includes measurement design, caring theory, and relationship based care, highlighting how robust data practices can coexist with compassionate, patient centered delivery. With practical examples from hospitals and international systems, it provides a detailed view of how analytics can support outcome optimization, inform leadership strategies, and strengthen continuous improvement efforts.