Оглавление
Группа авторов. Healthcare Systems
Table of Contents
List of Illustrations
List of Tables
Guide
Pages
Healthcare Systems. Challenges and Opportunities
Foreword
Preface
Summary of Contributions – Part 1
1. Towards a Prototype for the Strategic Recomputing of Schedules in Home Care Services. 1.1. Introduction
1.2. Literature review
1.3. Description of the problem
1.3.1. Constraints
1.3.1.1. Continuity constraints
1.3.1.2. Legal constraints
1.3.1.3. Internal policies
1.3.2. Objective function
1.4. Resolution method
1.4.1. Route generation
1.4.2. Route selection
1.5. Presentation of the prototype
1.6. Tests and results
1.7. Conclusion and perspectives
1.8. References
2. Home Healthcare Scheduling Activities. 2.1. Introduction
2.2. State of the art
2.3. Description of the proposed approach
2.3.1. Home healthcare planning “offline phase”
2.3.2. Rescheduling in online mode
2.4. Experiments and results
2.5. Conclusions and perspectives
2.6. References
3. Optimal Sizing of an Automated Dispensing Cabinet Under Adjacency Constraints. 3.1. Introduction
3.2. Problem statement
3.2.1. Description of the assignment problem
3.2.2. Notations and definitions
3.3. Mathematical formulation
3.3.1. Determination of boundary conditions
3.3.2. Problem solving approach
3.4. Application example
3.5. Conclusion
3.6. References
4. Validation of an Automated and Targeted Pharmaceutical Analysis Tool at the CHU de Liège. 4.1. Introduction
4.2. Methods
4.3. Results. 4.3.1. Creation of algorithms
4.3.2. IT tool development
4.3.3. Tool validation
4.4. Discussion and conclusion
4.5. References
5. Simulation of Countermeasures in the Face of Covid-19 Using a Linear Compartmental Model. 5.1. Introduction
5.2. The compartmental model. 5.2.1. Model assumptions
5.2.2. Model parameters
5.3. A linear SIR model
5.3.1. Data
5.3.2. Variables
5.3.3. Objective function
5.3.4. Constraints
5.4. Results
5.5. Conclusion
5.6. References
Summary of Contributions – Part 2
6. Towards a New Classification of Medical Procedures in Belgium. 6.1. Introduction. 6.1.1. An essential but obsolete medical healthcare nomenclature
6.1.2. Decision to initiate a structural reform of the Belgian healthcare nomenclature
6.1.3. The NPS V0 nomenclature in a few figures
6.1.4. Purpose of the presentation
6.2. Methodology
6.2.1. Term analysis and standardization (NPS ATMC V1-1)
6.2.2. Medical pre-validation (NPS ATMC V1-2)
6.2.3. Matching the WHO International Classification of Health Interventions (NPS ATMC V1-3)
6.2.4. Provisional classification of new terms (NPS ATMC V1-3')
6.2.5. INAMI administrative work
6.2.6. Validation of proposals by expert groups (NPS ATMC V1-4)
6.3. Results. 6.3.1. Planning
6.3.2. A summary of the modifications between NPS V0 and NSS V1-3
6.3.3. Validation of proposals by experts (NPS ATMC V1-5)
6.4. Discussion
6.4.1. From the standardization of medical procedures to a common descriptive classification
6.4.2. Evaluate the quality for the standardization of medical procedures
6.4.3. An estimate of the resources mobilized to arrive at a common descriptive classification
6.4.4. Participation of medical experts
6.4.5. The implementation of common descriptive classification (CC ATMC V1)
6.5. Conclusion
6.6. References
7. Digital Toolkit for the Ergonomic Evaluation of Workstations. 7.1. Introduction
7.2. ProcSim and ergonomics. 7.2.1. Origin
7.2.2. Our product
7.2.3. Examples of applications in different sectors
7.2.4. Benefits and value addition
7.3. Ergonomic assessment process. 7.3.1. Data collection
7.3.2. Data analysis
7.3.3. Workstation modeling
7.3.4. Virtual reality testing of possible activities
7.3.5. Improvement proposals and recommendations
7.4. Conclusion
7.5. References
8. Simulation on an RFID Interactive Tabletop with Tangible Objects of Future Working Conditions: Prospects for Implementation in the Hospital Sector. 8.1. Introduction
8.2. State-of-the-art on the simulation of future working conditions
8.3. Proposal for a simulator on an interactive tabletop
8.4. Development of a first version of a simulator on an interactive tabletop
8.5. Application opportunities in the healthcare industry
8.6. Conclusion and perspectives in the healthcare industry
8.7. Acknowledgments
8.8. References
9. Robotic Geriatric Assistant: A Pilot Assessment in a Real-world Hospital. 9.1. Introduction
9.2. Geriatric assessment: from needs to the proposed solution
9.2.1. Data management and the proposed robotic solution
9.2.2. The Clara robotic geriatric assistant – research
9.2.3. Hypotheses and research objectives
9.3. Methodological approach: living lab approach
9.3.1. Empowerment in and through interaction
9.3.2. Contribution: new analytical framework
9.3.3. Mixed methodological approach
9.4. Pilot assessment
9.4.1. Procedure and test protocol
9.4.2. Results
9.5. Conclusion
9.6. Acknowledgments
9.7. References
10. Perspectives on the Patient Experience (PX) of People with Disabilities in the Digital Age: From UX to PX. 10.1. Introduction
10.2. State-of-the-art on Patient eXperience (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
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
11.3.1. Security in information systems of Hospital 4.0
11.3.2. Usability of information systems of Hospital 4.0
11.3.3. Resilience of information systems of Hospital 4.0
11.3.4. Performance of information systems of Hospital 4.0
11.4. Towards a joint security, safety, usability, resilience and performance engineering initiative (ICSSURP)
11.4.1. Advanced conceptual model of ICSSURP
11.4.2. System of homogeneous metrics
11.4.3. Summary of the ICSSURP initiative
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
12.2.1. Preliminary phase: from observation to the approach outline
12.2.2. Phase 1: design
12.2.3. Phase 2: build
12.2.4. Phase 3: test
12.3. Current version of the proposed tool-based approach
12.3.1. Presentation of the first tool: the dashboard conceptual model. 12.3.1.1. Presentation of our basic dashboard indicators
12.3.1.2. Calculation of indicators with different scales
12.3.2. Presentation of the second tool: the Logbook
12.3.3. Description of the current version of the approach
12.3.3.1. Step 1 – collect and process qualitative and quantitative data
12.3.3.2. Step 2 – assess the feasibility and optimality of the initial schedule
12.3.3.3. Step 3 – study the indicators and their deviations at the scale of the operating suite
12.3.3.4. Step 4 – study the indicators and their deviations at the scale of the operating room
12.3.3.5. Step 5 – study the indicators and their deviations at the scale of the cases
12.3.3.6. Step 6 – determine the root causes, the responsibility and the impact on the schedule
12.3.3.7. Step 7 – assess the quality of the actions implemented
12.4. Applied example of our tool-based approach at the Centre Hospitalier de Narbonne. 12.4.1. Step 1 – collect and process the data
12.4.2. Step 2 – evaluate the feasibility and optimality of the initial schedule
12.4.3. Steps 3 and 4 – study the indicators and their deviations for the operating suite and the operating rooms
12.4.4. Step 5 – study the indicators and their deviations at the level of the interventions
12.4.5. Step 6 – determine root causes, impact on the performed schedule and responsibility for deviations
12.4.6. Step 7 – evaluate the quality of the actions implemented
12.4.7. Summation
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. 13.2.1. Planning patient journeys at the hospital
13.2.2. 4.0 transforming the operational management of hospital flows
13.2.3. Research problem
13.3. State-of-the-art and field of application. 13.3.1. Field of application: patient flows in outpatient hospitals
13.3.2. Little tactical planning for the state of the art
13.3.3. Choosing a planning and workflow management method
13.4. Contribution. 13.4.1. Macro-planning for groups of pathways: an S&Op for ambulatory medicine
13.4.2. Feedback
13.5. Discussion and perspectives. 13.5.1. Repeatability and accessibility of the macro-planning approach
13.5.2. Beyond the macro-planning for groups of pathways: towards integrated planning
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. 14.2.1. France’s healthcare restructuring and the impact for HaH
14.2.2. Hospitalization at home and target patients
14.2.3. The positioning of hospitalization at home versus traditional medicine
14.2.4. The problems facing hospitalization at home
14.3. The contribution of protocolization. 14.3.1. A quality tool for the patient and the healthcare provider
14.3.2. The interface protocol between healthcare facilities
14.3.3. Protocol facing its limitations
14.4. Study and proposed methodology
14.4.1. Case study of the cost drivers of a hospitalization at home
14.4.2. Patient trajectory forecasting and protocol generation
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. 15.2.1. Defining the concept of resilience within the framework of the study
15.2.2. Nature of events and situations studied
15.2.3. The conceptual framework of the study
15.3. Research methodology
15.3.1. The narrative of the event
15.3.2. The data collection
15.4. Research results. 15.4.1. Identification of stressors
15.4.1.1. “Internal” stressors
15.4.1.2. “External” stressors
15.4.2. The resilience process
Phase 1: Detection
Phase 2: Adaptation process
Phase 3: Results of the collective action
15.5. Discussion
15.6. Conclusion
15.7. References
Conclusion and Perspectives
Glossary
List of Authors
Index. A, B, C
D, E, G
H, I, L
M, N, O
P, Q, R
S, T, U, W
WILEY END USER LICENSE AGREEMENT
