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  • Population Health Analytics

Population Health Analytics

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The Population Health Analytics textbook is a playbook to design, build, and implement a Population Health Management strategy. The targeted audience of this book are health care leaders and their clinical, analytic, technology, and operations partners who have 1) seen how data in other industries is used to improve performance, drive profitable growth, and solve complex industry challenges, 2) committed to implementing a data driven Population Health strategy in their healthcare organization and in their community, 3) have gathered the clinical, analytic, technology, and business operations resources, and 4) share in the Triple Aim goal of improving the patient experience of care, improving the health of populations, and reducing the per capita cost of health care through the practical application of analytics and data driven decision-making. This playbook provides a comprehensive set of analytic and technology tools, techniques, methods and strategies needed to execute a robust and effective program of Population Health Management. It complements existing Population Health Management textbooks in that it focuses on analytic methods to support PHM strategies. It provides practical analytic concepts that are applicable for any type of healthcare organization (payer, provider, integrated delivery systems). It can be used in any graduate program for the health professions and can also be used in healthcare delivery systems as a reference manual for executives, managers, and staff responsible for executing population health management strategies. The text intends to address population health analytics in the current and near future healthcare data environment representing the reality in healthcare organizations today. Additionally, we intend to distinguish population health as a discipline in and of itself, drawing upon other disciplines like public health, epidemiology, clinical and social sciences, and actuarial, financial and business disciplines"--
Folgt in ca. 15 Arbeitstagen

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