Applying Decision Research to Improve Clinical Outcomes, Psychological Assessment, and Clinical Prediction
Applying Decision Research to Improve Clinical Outcomes, Psychological Assessment, and Clinical Prediction
Arkes, Hal R.; Gaudet, Charles E.; Faust, David
Oxford University Press Inc
09/2024
392
Mole
Inglês
9780197694237
15 a 20 dias
Chapter 1 The Benefits of Decision Research for Clinical Practice: Framing the Issues
Chapter 2 Avoiding Unnecessary Error
Part II: Gathering, Appraising, and Integrating Information
Chapter 3 Assessing Whether Clinical Variables Are Related: The Important Task of Covariation Estimation
Chapter 4 Confirmation Bias
Chapter 5 Impediments to Accurate Decision Making
Chapter 6 Base Rates: One of the Diagnostician's and Prognosticator's Greatest Allies
Chapter 7 The Integration of Information: Strengths and Limits
Chapter 8 Comparing Clinical Judgment and Statistical Decision Methods
Chapter 9 Research on Racial/Ethnic Biases and Professional Judgment: Errors in Cold Cognition, Hot Cognition, and Interconnections with Decision Research
Chapter 10 The Use of Artificial Intelligence in Clinical Decision Making: Current Status, Potential Advantages and Limits, Future Prospects
Part III: Corrective Methods and Strategies
Chapter 11 Overconfidence and the Limits of Experience
Chapter 12 The Limits of Insight Alone; Need for Active Steps, and Use of Debiasing Strategies
Chapter 13 Approaches for Improving Information Gathering, Appraising the Utility of Information, and Combining and Interpreting Information
Appendices
Appendix 1 A sampling of base rate sources
Appendix 2 Base rate nomogram
Appendix 3 Examples of combining base rates with other diagnostic signs, indicators, and test results
Appendix 4 A sampling of recent publications in five areas of machine learning and artificial intelligence related to applied clinical practice
Appendix 5 Practice Cases and Clinical Scenarios
Appendix 6 Checklists/Guidelines
Chapter 1 The Benefits of Decision Research for Clinical Practice: Framing the Issues
Chapter 2 Avoiding Unnecessary Error
Part II: Gathering, Appraising, and Integrating Information
Chapter 3 Assessing Whether Clinical Variables Are Related: The Important Task of Covariation Estimation
Chapter 4 Confirmation Bias
Chapter 5 Impediments to Accurate Decision Making
Chapter 6 Base Rates: One of the Diagnostician's and Prognosticator's Greatest Allies
Chapter 7 The Integration of Information: Strengths and Limits
Chapter 8 Comparing Clinical Judgment and Statistical Decision Methods
Chapter 9 Research on Racial/Ethnic Biases and Professional Judgment: Errors in Cold Cognition, Hot Cognition, and Interconnections with Decision Research
Chapter 10 The Use of Artificial Intelligence in Clinical Decision Making: Current Status, Potential Advantages and Limits, Future Prospects
Part III: Corrective Methods and Strategies
Chapter 11 Overconfidence and the Limits of Experience
Chapter 12 The Limits of Insight Alone; Need for Active Steps, and Use of Debiasing Strategies
Chapter 13 Approaches for Improving Information Gathering, Appraising the Utility of Information, and Combining and Interpreting Information
Appendices
Appendix 1 A sampling of base rate sources
Appendix 2 Base rate nomogram
Appendix 3 Examples of combining base rates with other diagnostic signs, indicators, and test results
Appendix 4 A sampling of recent publications in five areas of machine learning and artificial intelligence related to applied clinical practice
Appendix 5 Practice Cases and Clinical Scenarios
Appendix 6 Checklists/Guidelines