Using a patient-centric approach, Patient-Centric Analytics in Health Care identifies how analytics can drive value in terms of managing quality, access, and cost of care for patients across diverse health-care settings.
Using a patient-centric approach, Patient-Centric Analytics in Health Care identifies how analytics can drive value in terms of managing quality, access, and cost of care for patients across diverse health-care settings.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
James J. Gillespie is assistant professor and director of the Academy for Creativity and Leadership in the Department of Health Management and Informatics at the University of Central Florida. Gregory J. Privitera is professor and chair of the Department of Psychology at St. Bonaventure University.
Inhaltsangabe
Section I: The Landscape of Data Analytics Chapter 1: A Pentagonal Framework for the 6 Ps in Health Care Chapter 2: Taxonomy of Analytics in the Health-Care Space Chapter 3: The Statistical Toolbox for Analytics Chapter 4: Managing Value in Health Care: Adopting a Culture of Analytics Section II: Data Analytics Across the 6 Ps Chapter 5: Data Analytics: Patients Chapter 6: Data Analytics: Policy Makers Chapter 7: Data Analytics: Providers Chapter 8: Data Analytics: Pharmacies Chapter 9: Data Analytics: Pharmaceuticals Chapter 10: Data Analytics: Payers Section III: Best Practices in Data Analytics Chapter 11: Data Quality: Meaningful and Systematic Use Chapter 12: Exposition of Data: Managing Data Queries and Sampling Chapter 13: Driving Actionable Data: Triggers, Indicators, and Statistical Inference Chapter 14: Making Health Care Smarter
Section I: The Landscape of Data Analytics Chapter 1: A Pentagonal Framework for the 6 Ps in Health Care Chapter 2: Taxonomy of Analytics in the Health-Care Space Chapter 3: The Statistical Toolbox for Analytics Chapter 4: Managing Value in Health Care: Adopting a Culture of Analytics Section II: Data Analytics Across the 6 Ps Chapter 5: Data Analytics: Patients Chapter 6: Data Analytics: Policy Makers Chapter 7: Data Analytics: Providers Chapter 8: Data Analytics: Pharmacies Chapter 9: Data Analytics: Pharmaceuticals Chapter 10: Data Analytics: Payers Section III: Best Practices in Data Analytics Chapter 11: Data Quality: Meaningful and Systematic Use Chapter 12: Exposition of Data: Managing Data Queries and Sampling Chapter 13: Driving Actionable Data: Triggers, Indicators, and Statistical Inference Chapter 14: Making Health Care Smarter
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