Measuring Capacity to Care Using Nursing Data presents evidence-based solutions regarding the adoption of safe staffing principles and the optimum use of operational data to enable health service delivery strategies that result in improved patient and organizational outcomes. Readers will learn how to make better use of informatics to collect, share, link and process data collected operationally for the purpose of providing real-time information to decision- makers. The book discusses topics such as dynamic health care environments, health care operational inefficiencies and costly events, how to measure nursing care demand, nursing models of care, data quality and governance, and big data.
The content of the book is a valuable source for graduate students in informatics, nurses, nursing managers and several members involved in health care who are interested in learning more about the beneficial use of informatics for improving their services.
1. Cover image - p. page_i 2. Title page - p. page_i 3. Table of Contents - p. page_i 4. Copyright - p. page_iv 5. About the authors - p. page_xiii 6. Preface - p. page_xv 7. Acknowledgments - p. page_xxi 8. Chapter 1: Dynamic health care environments - p. page_xxi 9. Chapter 2: Health care operational inefficiencies: Costly events - p. page_11 10. Chapter 3: Digital transformation needs to measure nursing and midwifery care demands and workloads - p. page_28 11. Chapter 4: Nursing and midwifery work measurement methods and use - p. page_80 12. Chapter 5: Identifying skill mix needs - p. page_122 13. Chapter 6: Nursing and organizational models of care - p. page_152 14. Chapter 7: Staffing resource allocation, budgets and management - p. page_180 15. Chapter 8: Workforce planning - p. page_235 16. Chapter 9: Digital health ecosystems: Use of informatics, connectivity and system interoperability - p. page_261 17. Chapter 10: A digital transformation strategy enabling nursing data use - p. page_307 18. Chapter 11: Measuring health service quality - p. page_354 19. Chapter 12: Residential and community care management - p. page_388 20. Chapter 13: Current and future vision - p. page_412 21. Appendix 1: Case study 1 — Patient Assessment and Information System (PAIS): Work measurement research and workload measurement methodology - p. page_440 22. Appendix 2: Case Study 2 — Design, development and use of the TrendCare system - p. page_451 23. Index - p. page_465
Measuring Capacity to Care Using Nursing Data presents evidence-based solutions regarding the adoption of safe staffing principles and the optimum use of operational data to enable health service delivery strategies that result in improved patient and organizational outcomes. Readers will learn how to make better use of informatics to collect, share, link and process data collected operationally for the purpose of providing real-time information to decision- makers. The book discusses topics such as dynamic health care environments, health care operational inefficiencies and costly events, how to measure nursing care demand, nursing models of care, data quality and governance, and big data.
The content of the book is a valuable source for graduate students in informatics, nurses, nursing managers and several members involved in health care who are interested in learning more about the beneficial use of informatics for improving their services.
1. Cover image - p. page_i 2. Title page - p. page_i 3. Table of Contents - p. page_i 4. Copyright - p. page_iv 5. About the authors - p. page_xiii 6. Preface - p. page_xv 7. Acknowledgments - p. page_xxi 8. Chapter 1: Dynamic health care environments - p. page_xxi 9. Chapter 2: Health care operational inefficiencies: Costly events - p. page_11 10. Chapter 3: Digital transformation needs to measure nursing and midwifery care demands and workloads - p. page_28 11. Chapter 4: Nursing and midwifery work measurement methods and use - p. page_80 12. Chapter 5: Identifying skill mix needs - p. page_122 13. Chapter 6: Nursing and organizational models of care - p. page_152 14. Chapter 7: Staffing resource allocation, budgets and management - p. page_180 15. Chapter 8: Workforce planning - p. page_235 16. Chapter 9: Digital health ecosystems: Use of informatics, connectivity and system interoperability - p. page_261 17. Chapter 10: A digital transformation strategy enabling nursing data use - p. page_307 18. Chapter 11: Measuring health service quality - p. page_354 19. Chapter 12: Residential and community care management - p. page_388 20. Chapter 13: Current and future vision - p. page_412 21. Appendix 1: Case study 1 — Patient Assessment and Information System (PAIS): Work measurement research and workload measurement methodology - p. page_440 22. Appendix 2: Case Study 2 — Design, development and use of the TrendCare system - p. page_451 23. Index - p. page_465
