Healthcare Systems

Name: Healthcare Systems | Challenges and Opportunities
Brand: Wiley
Price: 139.99 EUR
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Challenges and Opportunities

Sondes Chaabane Etienne Cousein Philippe Wieser(Editor)

Wiley (Publisher)

1st Edition

Published on 11. February 2022

288 pages

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978-1-119-90259-1 (ISBN)

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This book is centered around the development of agile, high-performing healthcare institutions that are well integrated into their environment. The aim is to take advantage of artificial intelligence, optimization and simulation methods to provide solutions to prevent, anticipate, monitor and follow public health developments in order to intervene at the right time, using tools and resources that are both appropriate and effective.
The focus is on the people involved - the patients, as well as medical, technical and administrative staff - in an effort to provide an efficient healthcare and working environment that meets safety, quality and productivity requirements.
Heathcare Systems has been written by healthcare professionals, researchers in science and technology as well as in the social sciences and humanities from various French-speaking countries. It explores the challenges and opportunities presented by digital technology in our practices, organizations and management techniques.

Sondes Chaabane is a researcher at the Laboratory of Automation, Mechanics and Industrial and Human Computer Science (LAMIH UMR CNRS 8201) at Université Polytechnique Hauts-de-France and a lecturer at INSA Hauts-de-France. Her research focuses on the control and resilience of complex systems that combine optimization, simulation and artificial intelligence techniques.
Etienne Cousein is Head of the Pharmacy Department at the Valenciennes Hospital Center, France, and Vice President of the Commission Médicale d'Établissement. His main research interests include automated distribution solutions and medicine management within electronic patient records.
Philippe Wieser is Honorary Professor at EPFL, Switzerland, and Professor at the École des Ponts ParisTech, France. His fields of research are predominantly related to project management, industrial supply chain management and hospital logistics.

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Cover
Half-Title Page
Title Page
Copyright Page
Contents
Foreword
Preface
PART 1: Optimization and Simulation of Healthcare Systems
Summary of Contributions - Part 1
Towards a Prototype for the Strategic Recomputing of Schedules in Home Care Services
Home Healthcare Scheduling Activities
Optimal Sizing of an Automated Dispensing Cabinet under Adjacency Constraints
Validation of an Automated and Targeted Pharmaceutical Analysis Tool at the CHU de Liège
Simulation of Countermeasures in the Face of Covid-19 Using a Linear Compartmental Model
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
1.3.2. 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
PART 2: Digital and New Technologies for Health Services
Summary of Contributions - Part 2
Towards a New Classification of Medical Procedures in Belgium
Digital Toolkit for the Ergonomic Evaluation of Workstations
Simulation on an RFID Interactive Tabletop with Tangible Objects of Future Working Conditions: Prospects for Implementation in the Hospital Sector
Robotic Geriatric Assistant: A Pilot Assessment in a Real-World Hospital
Perspectives on the Patient Experience (PX) of People with Disabilities in the Digital Age: From UX to PX
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
PART 3: Change Management and Organizational Innovations
Summary of Contributions - Part 3
Jointly Improving the Experience of All Stakeholders in Hospital 4.0: The ICSSURP Initiative
Tool-based Approach to Analyze Operating Room Schedule Execution: Application to Online Managemen
Planning Patient Journeys in Outpatient Hospitals to Support the Ambulatory Shift
Treatment Protocols Generated by Machine Learning: Putting a Case Study of Hospitalization at Home into Perspective
Resilience of Healthcare Teams: Case Study of Two Cardiology Intensive Care Units
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
12.3.2. Presentation of the second tool: the Logbook
12.3.3. Description of the current version of the approach
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
15.4.2. 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
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Healthcare Systems

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