Book contents
- Data-Guided Healthcare Decision-Making
- Data-Guided Healthcare Decision-Making
- Copyright page
- Dedication
- Contents
- Figures
- Tables
- About the Author
- Preface
- Glossary
- Notations and Symbols
- Prologue
- Introduction
- Chapter 1 Why and How Healthcare Decisions Are Made
- Chapter 2 Are Data-Guided Healthcare Decisions Superior?
- Chapter 3 Software
- Chapter 4 How to Collect Authentic Data
- Chapter 5 Uncertainties and Their Impact on Healthcare Decisions
- Chapter 6 Why Models Are Important in Healthcare
- Chapter 7 How Healthcare Decision Trees Emerge and Function
- Chapter 8 How Are Group Decisions Practiced in Healthcare?
- Chapter 9 Tracing and Remedying Root Causes of Adversities
- Chapter 10 Healthcare Decision-Making for Cost-Effectiveness
- Chapter 11 Risk Analysis in Healthcare Decision-Making
- Chapter 12 Evaluation of Healthcare Programs
- Chapter 13 Six Sigma and Lean Management in Healthcare Sectors
- Chapter 14 Forecasting in Healthcare Sectors
- Epilogue
- Appendix Statistical Tables
- Index
- References
Chapter 8 - How Are Group Decisions Practiced in Healthcare?
Published online by Cambridge University Press: 13 July 2023
- Data-Guided Healthcare Decision-Making
- Data-Guided Healthcare Decision-Making
- Copyright page
- Dedication
- Contents
- Figures
- Tables
- About the Author
- Preface
- Glossary
- Notations and Symbols
- Prologue
- Introduction
- Chapter 1 Why and How Healthcare Decisions Are Made
- Chapter 2 Are Data-Guided Healthcare Decisions Superior?
- Chapter 3 Software
- Chapter 4 How to Collect Authentic Data
- Chapter 5 Uncertainties and Their Impact on Healthcare Decisions
- Chapter 6 Why Models Are Important in Healthcare
- Chapter 7 How Healthcare Decision Trees Emerge and Function
- Chapter 8 How Are Group Decisions Practiced in Healthcare?
- Chapter 9 Tracing and Remedying Root Causes of Adversities
- Chapter 10 Healthcare Decision-Making for Cost-Effectiveness
- Chapter 11 Risk Analysis in Healthcare Decision-Making
- Chapter 12 Evaluation of Healthcare Programs
- Chapter 13 Six Sigma and Lean Management in Healthcare Sectors
- Chapter 14 Forecasting in Healthcare Sectors
- Epilogue
- Appendix Statistical Tables
- Index
- References
Summary
First, let us understand the need for making a group decision in the healthcare setting. A single person making healthcare decisions is likely to offer more liabilities than strengths. Group decision-making can reduce this risk. One advantage of group decision-making is that it brings in different perspectives. Because group members have different orientations and interests, the group decision-making process is chaotic with conflicts and contradictions. Strategies can be employed to rectify these difficulties.
The Delphi approach increases the chance for reaching a consensus by utilizing qualitative techniques as well as descriptive and inferential concepts. The Delphi procedure is appropriate when several criteria are to be met and hence gets the name multi-criteria decision analysis (MCDA) (Aires and Ferreira, 2018). The MCDA functions based on five components: goal, criteria, alternatives, decision makers, and outcomes (Kumar et al., 2017). The MCDA builds consensus using the analytic hierarchy process (AHP).
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- Data-Guided Healthcare Decision Making , pp. 199 - 211Publisher: Cambridge University PressPrint publication year: 2023