(PX) 10.3. Research methodology and proposal 10.4. Illustrations relating to the “user research” phase of the methodological framework 10.5. Case study: digital care journey of a patient with a disability 10.6. Conclusion 10.7. References
8 PART 3: Change Management and Organizational Innovations Summary of Contributions – Part 3 11 Jointly Improving the Experience of All Stakeholders in Hospital 4.0: The ICSSURP Initiative 11.1. Introduction 11.2. Digital transformation to Hospital 4.0 11.3. Essential qualities of information systems of Hospital 4.0 11.4. Towards a joint security, safety, usability, resilience and performance engineering initiative (ICSSURP) 11.5. Conclusion and perspectives 11.6. References 12 A Tool-based Approach to Analyze Operating Room Schedule Execution: Application to Online Management 12.1. Introduction 12.2. Methodology used to generate our approach 12.3. Current version of the proposed tool-based approach 12.4. Applied example of our tool-based approach at the Centre Hospitalier de Narbonne 12.5. Conclusion and perspectives 12.6. References 13 Planning Patient Journeys in Outpatient Hospitals to Support the Ambulatory Shift 13.1. Introduction 13.2. Background and state-of-the-art methods 13.3. State-of-the-art and field of application 13.4. Contribution 13.5. Discussion and perspectives 13.6. Conclusion 13.7. References 14 Treatment Protocols Generated by Machine Learning: Putting a Case Study of Hospitalization at Home into Perspective 14.1. Introduction 14.2. Context and perspective 14.3. The contribution of protocolization 14.4. Study and proposed methodology 14.5. Conclusion 14.6. References 15 Resilience of Healthcare Teams: Case Study of Two Cardiology Intensive Care Units 15.1. Introduction 15.2. Theoretical framework 15.3. Research methodology 15.4. Research results 15.5. Discussion 15.6. Conclusion 15.7. References
10 Glossary
12 Index
List of Illustrations
1 Chapter 1Table 1.1. Numerical results
2 Chapter 2Table 2.1. Results and experimentsTable 2.2. Case of rescheduling with disruptions
3 Chapter 3Table 3.1. Incompatibility matrix I after binarization (y = 0.25)
4 Chapter 4Table 4.1. Comparison of pharmaceutical validations with or without the computer...
5 Chapter 5Table 5.1. Scenarios for mainland France (65 million inhabitants)Table 5.2. Scenarios for the AURA region (8 million inhabitants)
6 Chapter 6Table 6.1. NPS ATMC V0, medico-surgical technical procedures classified by speci...Table 6.2. An example of pre-standardized terms prepared by DESULBTable 6.3. An example of the pre-validator expert’s contribution to the standard...Table 6.4. Example of matching with ICHITable 6.5. Each standardized act has a classification indexTable 6.6. An example of modifications given by a group of experts for the propo...Table 6.7. A summary of the pre-standardization and pre-validation work. For a c...Table 6.8. The common classification will allow for the transition from French i...
7 Chapter 11Table 11.1. Security impactsTable 11.2. Usability impactsTable 11.3. Resilience techniques
8 Chapter 12Table 12.1. Example of a dashboard conceptual model for indicators linked to a l...Table 12.2. Performance indicators and their target values for the operating sui...Table 12.3. Description of Logbook entriesTable 12.4. Hypothetical assumptions to be respected throughout schedulingTable 12.5. Example of Logbook entries for disruptions (lines 1–5) and actions t...Table 12.6. Indicators and their deviations. The ratios are in bold if they do n...Table 12.7. Summary of step 6
9 Chapter 14Table 14.1. Karnofsky Index and corresponding health stateTable 14.2. Breakdown of the main modes of care for HaH in 2018 (in days) – sour...Table 14.3. Method used and impact measured per environment in the bibliography
List of Tables
1 Chapter