Text Mining Techniques for Healthcare Provider Quality Determination Methods for Rank Comparisons Premier Reference Source 1st Edition by Patricia Cerrito ISBN 1605667528 978-1605667522

Text Mining Techniques for Healthcare Provider Quality Determination Methods for Rank Comparisons Premier Reference Source 1st Edition by Patricia Cerrito – Ebook PDF Instant Download/Delivery: 1605667528 978-1605667522

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Product details:

ISBN 10: 1605667528 

ISBN 13: 978-1605667522

Author: Patricia Cerrito

 The quest for quality in healthcare has led to attempts to develop models to determine which providers have the highest quality in healthcare, with the best outcomes for patients. Text Mining Techniques for Healthcare Provider Quality Determination: Methods for Rank Comparisons discusses the general practice of defining a patient severity index in order to make risk adjustments to compare patient outcomes across multiple providers with the intent of ranking the providers in terms of quality. This innovative reference source, valuable to medical practitioners, researchers, and academicians, brings together research from across the globe focusing on how severity indices are generally defined when determining the best outcome for patient care.

Table of contents:

Chapter 1: Introduction to Ranking Models
Chapter 2: Data Visualization and Data Summary
Chapter 3: Statistical Methods
Chapter 4: Predictive Modeling Versus Regression
Chapter 5: The Charlson Comorbidity Index
Chapter 6: The All Patient Refined Diagnosis Related Group
Chapter 7: Risk Adjustment Based Upon Resource Utilization
Chapter 8: Text Mining and Patient Severity Clusters
Chapter 9: Working from Claims Data
Chapter 10: Use of Risk Adjustment Models for Provider Reimbursements
Chapter 11: How to Check Measures for Adequacy

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