Quality Assurance Management: A Comprehensive Overview of Real-World Applications for High Risk Specialties demonstrates how to best design and implement standard operating procedures (SOPs) to ensure protocol and regulation adherence. The book showcases similarities and differences between healthcare and academic quality assurance systems, resulting in counter-productivity and performance issues, in addition to regulatory inspection preparedness. It uses the processes and standards of the UK to demonstrate how to combine QA and research building into ‘building blocks’ that share a common pathway for effective project design, analysis and unbiased interpretation of collated data.This book fills a gap, providing original research in QA that especially focuses on specialist areas. It will be of use to research and clinical staff working in clinical research within healthcare, academia and industry.
1. Chapter 1 Introduction - p. 1 2. Chapter 2 Building a quality management system - p. 23 3. Chapter 3 Audits and monitoring - p. 49 4. Chapter 4 Inspections - p. 59 5. Chapter 5 Quality assurance management in pain medicine - p. 71 6. Chapter 6 Quality assurance management in maternity care - p. 101 7. Chapter 7 Neuropsychiatry and mental health - p. 131 8. 7.1: Background - p. 131 9. 7.2: Introduction - p. 133 10. 7.3: Neuropsychiatric disorders - p. 136 11. 7.4: Mood disorders: Depressive disorder - p. 147 12. 7.5: Symptom profile: Clinical manifestation of secondary comorbid disorders that reinforce primary disorder - p. 148 13. 7.6: Brain circuit activity in depressive disorder - p. 154 14. 7.7: Anxiety or fear-related disorders: Generalized anxiety disorder - p. 162 15. 7.8: Categorical diagnosis and disease severity - p. 162 16. 7.9: Symptom profile: Clinical manifestation of secondary comorbid disorders that reinforce primary disorders - p. 163 17. 7.10: Neurocognitive disorders: Alzheimer's disease and dementia - p. 167 18. 7.11: Symptom profile with details of psychopathology: Clinical manifestation of secondary comorbid disorders that reinforce primary disorder - p. 169 19. 7.12: Quality assurance and quality control in neuropsychiatry - p. 174 20. 7.13: Importance of quality for neurology/neurosurgery in clinical research - p. 178 21. 7.14: Conceptual frameworks and practice-based applications used to optimize quality assurance in neuropsychiatric clinical care and optimizing mental healthcare - p. 187 22. 7.15: Conceptual frameworks and practice-based applications used to optimizes quality assurance in neuropsychiatric and mental health research - p. 197 23. 7.16: Translation of improved quality in real-world contexts - p. 200 24. 7.17: Managing quality optimization methods for neuropsychiatric populations - p. 201 25. 7.18: Quality optimization in investigational medical product development and deployment - p. 207 26. 7.19: Quality methods in medical device development and deployment - p. 212 27. 7.20: Quality control and assurance in digital technology development and deployment - p. 218 28. 7.21: Managing quality protocols for mental healthcare populations - p. 221 29. 7.22: Quality optimization in complex intervention development and deployment - p. 224 30. 7.23: Quality control and assurance procedures in the development and deployment of novel therapeutics - p. 228 31. 7.24: Future directions - p. 231 32. Chapter 8 Clinical and translational radiology - p. 241 33. Chapter 9 Case studies - p. 309 34. Index - p. 315
Quality Assurance Management: A Comprehensive Overview of Real-World Applications for High Risk Specialties demonstrates how to best design and implement standard operating procedures (SOPs) to ensure protocol and regulation adherence. The book showcases similarities and differences between healthcare and academic quality assurance systems, resulting in counter-productivity and performance issues, in addition to regulatory inspection preparedness. It uses the processes and standards of the UK to demonstrate how to combine QA and research building into ‘building blocks’ that share a common pathway for effective project design, analysis and unbiased interpretation of collated data.This book fills a gap, providing original research in QA that especially focuses on specialist areas. It will be of use to research and clinical staff working in clinical research within healthcare, academia and industry.
1. Chapter 1 Introduction - p. 1 2. Chapter 2 Building a quality management system - p. 23 3. Chapter 3 Audits and monitoring - p. 49 4. Chapter 4 Inspections - p. 59 5. Chapter 5 Quality assurance management in pain medicine - p. 71 6. Chapter 6 Quality assurance management in maternity care - p. 101 7. Chapter 7 Neuropsychiatry and mental health - p. 131 8. 7.1: Background - p. 131 9. 7.2: Introduction - p. 133 10. 7.3: Neuropsychiatric disorders - p. 136 11. 7.4: Mood disorders: Depressive disorder - p. 147 12. 7.5: Symptom profile: Clinical manifestation of secondary comorbid disorders that reinforce primary disorder - p. 148 13. 7.6: Brain circuit activity in depressive disorder - p. 154 14. 7.7: Anxiety or fear-related disorders: Generalized anxiety disorder - p. 162 15. 7.8: Categorical diagnosis and disease severity - p. 162 16. 7.9: Symptom profile: Clinical manifestation of secondary comorbid disorders that reinforce primary disorders - p. 163 17. 7.10: Neurocognitive disorders: Alzheimer's disease and dementia - p. 167 18. 7.11: Symptom profile with details of psychopathology: Clinical manifestation of secondary comorbid disorders that reinforce primary disorder - p. 169 19. 7.12: Quality assurance and quality control in neuropsychiatry - p. 174 20. 7.13: Importance of quality for neurology/neurosurgery in clinical research - p. 178 21. 7.14: Conceptual frameworks and practice-based applications used to optimize quality assurance in neuropsychiatric clinical care and optimizing mental healthcare - p. 187 22. 7.15: Conceptual frameworks and practice-based applications used to optimizes quality assurance in neuropsychiatric and mental health research - p. 197 23. 7.16: Translation of improved quality in real-world contexts - p. 200 24. 7.17: Managing quality optimization methods for neuropsychiatric populations - p. 201 25. 7.18: Quality optimization in investigational medical product development and deployment - p. 207 26. 7.19: Quality methods in medical device development and deployment - p. 212 27. 7.20: Quality control and assurance in digital technology development and deployment - p. 218 28. 7.21: Managing quality protocols for mental healthcare populations - p. 221 29. 7.22: Quality optimization in complex intervention development and deployment - p. 224 30. 7.23: Quality control and assurance procedures in the development and deployment of novel therapeutics - p. 228 31. 7.24: Future directions - p. 231 32. Chapter 8 Clinical and translational radiology - p. 241 33. Chapter 9 Case studies - p. 309 34. Index - p. 315
