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Foreword; Preface; Acknowledgments; Contents; Contributors; Part I: Introduction; 1: Introduction; References; 2: Introduction: The History of Statistics in Medicine and Surgery; Uncertainty; Confidence Limits; P Values; Human Error; Understanding Surgical Failure; A Mathematical Framework for Risk; Incremental Risk Factor Concept; Philosophy; Continuity Versus Discontinuity in Nature; Linearity Versus Nonlinearity; Nihilism Versus Predictability; Parsimony Versus Complexity; Nomograms; Effectiveness, Appropriateness, Timing, and Indications for Intervention; Time-Related Events

Repeatable Events Competing Risks; Weighted Events; Longitudinal Data Analysis; Comparison of Treatments; Clinical Trials with Randomly Assigned Treatment; Clinical Studies with Nonrandomly Assigned Treatment; Where Have We Been and Where Are We Headed?; References; 3: Introduction: Using Data to Drive Change and Improvement: The Legacy of Florence Nightingale; Reference; 4: Introduction: Quality Improvement and Databases in the Context of Professionalism; References; Part II: Nomenclature and Taxonomies

5: Nomenclature for Congenital and Pediatric Cardiac Disease: Historical Perspectives and the International Pediatric and Congenital Cardiac CodeIntroduction; History of the Classification of Disease [13]; Pediatric and Congenital Cardiac Nomenclature and the International Pediatric and Congenital Cardiac Code; Further Developments Related to the IPCCC; Crossmapping Issues and the Development of Crossmapping Rules; The Electronic Health Record and the Systematized Nomenclature of Medicine Clinical Terms (SNOMED-CT)

The 11th Revision of the International Classification of Diseases (ICD-11) Differences Between Clinical and Administrative Nomenclature; Conclusions; References; 6: Defining Terms in Lists of Nomenclature; Introduction; The Problem; The Solution; Conclusion; References; 7: Illustrating Terms in Lists of Nomenclature; Introduction; Historical Background; Illustration of the Terms of the IPCCC; Summary; References; Part III: Databases; 8: Databases for Assessing the Outcomes of the Treatment of Patients with Congenital and Pediatric Cardiac Disease: The Perspective of Cardiac Surgery

IntroductionNomenclature; Database; Complexity Stratification; Data Verification; Subspecialty Collaboration; Longitudinal Follow-Up; Quality Assessment and Quality Improvement; Summary: Bridging the Gap Form Analysis of Outcomes to Improvement of Quality; References; 9: Databases for Assessing the Outcomes of the Treatment of Patients with Congenital and Pediatric Cardiac Disease: The Perspective of Cardiology; Background, History and Current Status; Database History; Database Architecture; On-Line Transactional Processing System; On-Line Analytical Processing System (Data Warehouse)

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