Return on Investment for Healthcare Quality Improvement
Autor Craig A. Soliden Limba Engleză Paperback – 10 iun 2021
This book offers a comprehensive overview of performing return-on-investment (ROI) analyses for healthcare quality improvement (QI). In the United States, healthcare policy regarding physician and facility payment/reimbursement is steadily trending towards the use of “value-based” systems and away from the traditional “fee-for-service” (FFS) payment mechanisms. Healthcare professionals and organizations who have previously focused on quality metrics are now finding themselves burdened with having to define and assess value metrics, without much guidance or assistance. This volume aims to be a guide and a reference for healthcare professionals tasked with estimating and establishing ROI for QI.
Chapters describe the general framework for how to perform QI; establish standard definitions of important terms, concepts, and calculations; and provide specific instructions for how to complete each step of an ROI analysis. These include: selecting a QI initiativeand identifying the associated metrics, establishing measurable, monetizable, and attributable costs and benefits, determining the appropriate scope and perspective, calculating ROI and related metrics (payback period, benefit-to-cost ratio, etc.), comparing with established benchmarks or previously published results, and interpreting the results for the intended audience. In addition, chapters offer examples of real studies (or hypothetical studies of real situations), as well as templates for several of the necessary activities that readers can leverage for their own use.
Return on Investment for Healthcare Quality Improvement is a must-have resource for healthcare providers, administrators, and other professionals who work in healthcare organizations, hospitals and other healthcare settings, health systems, and residency programs seeking to obtain outside funding, as well as policy makers and administrators of federal programs.
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Specificații
ISBN-13: 9783030464806
ISBN-10: 3030464806
Pagini: 263
Ilustrații: XIII, 263 p. 45 illus., 6 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.4 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3030464806
Pagini: 263
Ilustrații: XIII, 263 p. 45 illus., 6 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.4 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
Chapter 1. Introduction.- Chapter 2. Planning an ROI Analysis.- Chapter 3. Initial Steps.- Chapter 4. Costs and Benefits.- Chapter 5. Performing Base Case and Sensitivity Analyses.- Chapter 6. Interpretation and Presentation.- Chapter 7. Hypothetical Case Studies.- Chapter 8. Tips and Templates.- Chapter 9. Expanded Topics in ROI.
Notă biografică
Craig A. Solid, PhD, is a health services researcher and consultant who is owner and principal of Solid Research Group, LLC. Due to his expertise in the measurement and assessment of healthcare quality and value, and familiarity with federal quality initiatives and the evaluation of health policy and reimbursement, Dr. Solid helps healthcare organizations to navigate the complex world of data and measurement related to healthcare quality and research. His training as a statistician and economist allows him to effectively convey complex analytic and clinical concepts to a variety of audiences. Dr. Solid has given seminars and guest-lectures on analytic methods related to continuous quality improvement (control charting, etc.), the process of calculating the return on investment (ROI) for quality improvement, and the steps required to write and format peer-reviewed manuscripts for journal submission. He has co-authored over 50 peer-reviewed manuscripts and has presented work at numerous national and international conferences.
Textul de pe ultima copertă
This book offers a comprehensive overview of performing return-on-investment (ROI) analyses for healthcare quality improvement (QI). In the United States, healthcare policy regarding physician and facility payment/reimbursement is steadily trending towards the use of “value-based” systems and away from the traditional “fee-for-service” (FFS) payment mechanisms. Healthcare professionals and organizations who have previously focused on quality metrics are now finding themselves burdened with having to define and assess value metrics, without much guidance or assistance. This volume aims to be a guide and a reference for healthcare professionals tasked with estimating and establishing ROI for QI.
Chapters describe the general framework for how to perform QI; establish standard definitions of important terms, concepts, and calculations; and provide specific instructions for how to complete each step of an ROI analysis. These include: selecting a QI initiativeand identifying the associated metrics, establishing measurable, monetizable, and attributable costs and benefits, determining the appropriate scope and perspective, calculating ROI and related metrics (payback period, benefit-to-cost ratio, etc.), comparing with established benchmarks or previously published results, and interpreting the results for the intended audience. In addition, chapters offer examples of real studies (or hypothetical studies of real situations), as well as templates for several of the necessary activities that readers can leverage for their own use.
Return on Investment for Healthcare Quality Improvement is a must-have resource for healthcare providers, administrators, and other professionals who work in healthcare organizations, hospitals and other healthcare settings, health systems, and residency programs seeking to obtain outside funding, as well as policy makers and administrators of federal programs.
Caracteristici
Provides tools and techniques specifically for those involved in healthcare QI Is designed to assist with the proposal process for those trying to get funding Addresses the changing healthcare landscape regarding value-based payments Is designed to be easy to understand and follow for those without training or background in data analysis or economics