As the focus of the health care delivery system continues to move toward a coordinated and accountable system, there is an increasing need for a single resource that focuses on analytics for population health. Population Health Analytics addresses that need by providing detailed information and a “how to” guide for achieving population health analytics. Comprehensive, current, and practical, this logically organized text builds from understanding data sources, to contextualizing data, modeling data, and gleaning insights from that data, which is a natural progression for organizations in progressing to higher levels of analytic capabilities. Furthermore, these frameworks for the population health process and analytics are grounded in an evidence base that is also aligned with theories and processes used in healthcare disciplines. A first of its kind text, Population Health Analytics, will prepare students to improve health outcomes, understand patterns of health behavior and behavior determinants, develop effective interventions, and track health and cost performance across populations. Key features: - Real world scenarios using case studies, use cases, critical thinking and discussion questions encourage readers to apply data and analytics to improve health. - Readers will learn to discern the intricacies and nuances of creating, preparing, contextualizing, tracking, and reporting data to support clinical quality and healthcare cost improvement. - Guiding principles and processes to develop a population health workforce are introduced, such as the Team Troika in Chapter 31. - Each application of healthcare data is supported with evidence, ample references, and ancillary resources - Navigate eBook Access (included with each printed text) enabling online or offline access to the text from a computer, tablet, or mobile device.

Book Information
ISBN 9781284182477
Author Martha L. Sylvia
Format Paperback
Page Count 400
Imprint Jones and Bartlett Publishers, Inc
Publisher Jones and Bartlett Publishers, Inc
Weight(grams) 964g