Innovations for Healthcare and Wellbeing: Digital Technologies, Ecosystems and Entrepreneurship

Preface
Contents
Part I: Digital Technologies for Healthcare
	Chapter 1: Information as the Most Important Tool for the Development of Personalized Medicine
		1.1 Introduction
		1.2 The Concept of “Big Data”
		1.3 Digital Health Care
		1.4 Existing Problems of Big Data Analytics in Medicine
		1.5 Areas of Successful Use of Big Data and Artificial Intelligence Technologies in the Near Future
		1.6 Data-Driven Management (DDM)
		1.7 Conclusions
		References
	Chapter 2: Personalized Approach to Treatment of Malignant Tumors During Pregnancy
		2.1 Introduction
		2.2 Gynecological Tumors and Pregnancy
			2.2.1 Cervical Cancer and Pregnancy
			2.2.2 Preinvasive Cervical Cancer (High-Grade Squamous Intraepithelial Lesions (HSILs)) in Pregnant Women
		2.3 Invasive Cervical Cancer During Pregnancy: Diagnostics
		2.4 Invasive Cervical Cancer During Pregnancy: Treatment
			2.4.1 Microinvasive Cervical Cancer During Pregnancy
			2.4.2 Invasive Cervical Cancer During Pregnancy
		2.5 Fertility After Cervical Cancer Treatment
		2.6 Ovarian Tumors and Pregnancy
			2.6.1 Diagnosis of Ovarian Tumors During Pregnancy
			2.6.2 Therapeutic Tactics for Benign Ovarian Formations During Pregnancy
			2.6.3 Therapeutic Tactics for Malignant Ovarian Tumors During Pregnancy
			2.6.4 Fertility After Treatment of Malignant Ovarian Tumors
			2.6.5 Vulvar Cancer
			2.6.6 Endometrial Cancer
		2.7 Breast Cancer and Pregnancy
			2.7.1 Diagnosis of Breast Cancer During Pregnancy
			2.7.2 Treatment of Breast Cancer Associated with Pregnancy
			2.7.3 Surgical Treatment
			2.7.4 Radiotherapy
		2.8 Conclusions
		References
	Chapter 3: The Role of Telemedicine Technologies in the Prognosis of Patients with End-Stage Chronic Heart Failure and Heart Transplant Recipients
		3.1 Introduction
		3.2 Implementation of Telerehabilitation and Technological Innovations in Heart Transplant Recipients
		3.3 Conclusions
		References
	Chapter 4: The Opportunities of Robot-Assisted Surgery in Team Approach in Patients with Severe Comorbidities
		4.1 Introduction
		4.2 Advantages and Disadvantages of Robotic Surgery
		4.3 Anesthesia for Robot-Assisted Operations
			4.3.1 Narcosis
			4.3.2 Positioning the Patient on the Operating Table
			4.3.3 Carboxyperitoneum
		4.4 Comorbidity/Frailty
		4.5 Robot-Assisted Operations
			4.5.1 Pelvic Surgery
				4.5.1.1 Robot-Assisted Radical Prostatectomy
				4.5.1.2 Robot-Assisted Adenomectomy
				4.5.1.3 Robot-Assisted Radical Cystectomy/Cystoprostatectomy (RARC)
				4.5.1.4 Prostate Surgery in Frail Patients
			4.5.2 Kidney Surgery
				4.5.2.1 Partial Nephrectomy
				4.5.2.2 Radical Nephrectomy
				4.5.2.3 Robot-Assisted Pyeloplasty (RAP)
				4.5.2.4 Robotic Kidney Surgery in Comorbid Patients
			4.5.3 Robot-Assisted Gynecological Surgery
				4.5.3.1 Robot-Assisted Gynecological Procedures in Comorbid Patients
			4.5.4 Robot-Assisted General Surgery
				4.5.4.1 Robotic General Surgery in Comorbid Patients
			4.5.5 Experiences at the Almazov National Medical Research Center
		4.6 Conclusions
		References
	Chapter 5: The First Clinical Application of a Therapy Device for Nitric Oxide Synthesis from Atmospheric Air
		5.1 Introduction
		5.2 Materials and Methods
		5.3 Results
			5.3.1 Patients
			5.3.2 The Effect of NO Inhalation on Hemodynamics
			5.3.3 The Effect of NO Inhalation on Gas Exchange and Oxygen Delivery
			5.3.4 Clinical Course of the Postoperative Period in the Study Groups
			5.3.5 Side Effects of Inhaled Nitric Oxide Therapy Identified in the Study Groups
		5.4 Discussion
		5.5 Conclusions
		References
Part II: Healthcare Environment and Ecosystems
	Chapter 6: Mechanism for Development of Medical Hubs as a Basic Element of National Security in Health Care
		6.1 Introduction
		6.2 Cluster Approach to the Development of Health Care as a Prerequisite for the Formation of a Medical Hub
		6.3 Conceptual Model of Regional Competitiveness of a Medical Hub
		6.4 Medical Hubs as an Innovative Business Development Environment: Goals, Principles, Functions, and Structural Elements
		6.5 Structure of a Medical Hub Business Model
		6.6 Life Cycle of a Medical Hub
		6.7 Strategies of Medical Hub Development and Tools for Their Implementation
		6.8 Development of Public–Private Partnerships
		6.9 Marketing Strategy
		6.10 Production Strategy
		6.11 Strategy for Scientific and Technological Development and Staff Training
		6.12 Financial Strategy
		6.13 Socioeconomic Problems of Creating Medical Hubs in the Regions of Russia
		References
	Chapter 7: Using Enterprise Architecture Approach to Model Healthcare Innovation Hubs
		7.1 Introduction
		7.2 Digital Innovation Hubs (DIHs)
		7.3 Overview of Leading Medical Hubs
			7.3.1 Health Innovation Hub (HIH), Germany
			7.3.2 Pfizer Healthcare Hub, Berlin, Freiburg, Germany
			7.3.3 Health Innovation Hub Ireland (HIHI), Ireland
			7.3.4 Digital Innovation Hub for Home Hospitalisation, Scotland
			7.3.5 Genolier Innovation Hub, Switzerland
			7.3.6 Kantonsspital Baden (KSB) Health Innovation Hub, Switzerland
			7.3.7 Health Innovation Hub at the University Hospital Zurich, Switzerland
		7.4 Overview of Medical Hub Structures in Russia
			7.4.1 The International Medical Cluster (IMC), Skolkovo, Moscow
			7.4.2 Moscow Center for Innovative Technologies in Healthcare, Moscow
			7.4.3 Scientific and Educational Medical Cluster “Translational Medicine,” St. Petersburg
		7.5 Business Architecture of Healthcare Innovation Hub
			7.5.1 Hub Stakeholders
			7.5.2 Hub Business Services
		7.6 The Digital Platform of a Healthcare Innovation Hub
		7.7 Data of Healthcare Innovation Hubs
		7.8 Hub Infrastructure
		7.9 Conclusions
		References
	Chapter 8: Innovation Medical Hub: Data Donation
		8.1 Introduction
		8.2 Materials and Methods
			8.2.1 Identification of the Practical Need for Data Access
			8.2.2 Literature Search and Analysis
			8.2.3 Shaping the Requirements for a Data Donation System in Health Care
			8.2.4 Modeling the Business, IT, and Technology Architecture of a Medical Innovation Hub Data Donation System
			8.2.5 Verification of the Resulting Models
		8.3 A Literature Review
			8.3.1 Specification of the Research Questions
			8.3.2 Specification of Inclusion and Exclusion Criteria
			8.3.3 Analysis of Selected Articles
			8.3.4 Incentives and Value of Data Donation
		8.4 Results
		8.5 Discussion
		8.6 Conclusions
		References
	Chapter 9: Use of the Data-Driven Concept in the Management of a Healthcare Facility
		9.1 Introduction
		9.2 The Essence of a Data-Driven Approach
		9.3 Cases of Implementation of the Data-Driven Concept in Management Regardless of the Field of Activity
			9.3.1 Sibur Holding
			9.3.2 SberBank
		9.4 Case of Implementation of the Data-Driven Concept in the Medical Field
			9.4.1 The Seoul National University Bundang Hospital
			9.4.2 The Memorial Sloan Kettering Cancer Center
			9.4.3 Experience of Using the Data-Driven Concept in Medicine of the Russian Federation
		9.5 Comparison of Two Business Models of Medical Facility
		9.6 Difficulties with the Regulatory Framework in Digital Medicine
		9.7 Results
		9.8 Conclusions
		References
	Chapter 10: Planning and Management of Vaccine Distribution: Social Vulnerability Index to Reduce Vulnerability in Public Health
		10.1 Introduction
		10.2 Materials and Methods
		10.3 Literature Review
			10.3.1 Vaccine Lifecycle Management
				10.3.1.1 The Case of Kazakhstan
				10.3.1.2 The EU Practice and Further Cases
				10.3.1.3 Ecosystem in Vaccine Lifecycle Management
			10.3.2 Innovative Solutions with IT Support in Vaccine Supply Chain
			10.3.3 Comparative Literature Review Summary
		10.4 Results
			10.4.1 The Inclusion of the Social Vulnerability Index in the Proposed Innovative Model
		10.5 Discussion
		10.6 Conclusions
		References
Part III: Smart Hospital Concept Development within Innovative Healthcare Ecosystems and National Health Systems
	Chapter 11: Medical Organization Architecture in View of Healthcare Digitalization
		11.1 Introduction
		11.2 The Current State of Digitalization of Healthcare
		11.3 Bottleneck Analysis of Digital Health Transformation Processes
		11.4 An Architectural Approach to the Digitalization of Healthcare
			11.4.1 Approach to Developing an Architectural Model
			11.4.2 Motivational Extension
			11.4.3 Architectural Model Description
		11.5 Potential Implementation Projects and Results
		11.6 Conclusion
		References
	Chapter 12: Implementing Data-Driven Management: A Case of the National Heart Center
		12.1 Introduction
		12.2 Description of the Research Object
		12.3 Project Structure
		12.4 Implementing Process Management and Increasing the Level of Process Maturity
		12.5 Quality Control and Internal Benchmarking as a Tool for Implementing DDM
		12.6 Conclusion
		References
	Chapter 13: Using Wearable Devices to Improve the Patients’ Quality of Life
		13.1 Introduction
		13.2 Literature Review
		13.3 Wearable Technologies as a Part of the Internet of Things
			13.3.1 Architecture of the Medical Internet of Things
			13.3.2 Perception Level: Data Collection
			13.3.3 Network Layer: Data Transmission and Storage
			13.3.4 Application Level: Data Interpretation
		13.4 The Use of Wearable Devices in Different Spheres of Life
			13.4.1 Safety and Security
			13.4.2 Fashion
			13.4.3 Medicine and Monitoring of Health Indicators
		13.5 Biomarkers in Wearable Devices and Their Classification
			13.5.1 A Device with an Orientation System and a Call for Help
			13.5.2 Automatic Tablet Dispensers
			13.5.3 Portable Diagnostic System
			13.5.4 Digital Stethoscope
		13.6 Wearable Device Market Analysis
		13.7 Advantages and Disadvantages of Wearable Devices
			13.7.1 Advantages
			13.7.2 Disadvantages
		13.8 Transfer and Accumulation of Medical Data
			13.8.1 The Mechanism of Operation of a Medical Digital Device
			13.8.2 Risks in Data Transmission
		13.9 Solving the Problem
			13.9.1 On the Part of Users
			13.9.2 From the Manufacturer’s Side
			13.9.3 The Proposed Solution for Manufacturing Companies
		13.10 Results and Discussion
		13.11 Conclusion
		References
	Chapter 14: Hospital Performance Monitoring: Data-Driven Approach
		14.1 Introduction
		14.2 Data-Driven Approach
		14.3 Modern Trends in the Development of Hospital Management
		14.4 The Conceptual Foundations of a High-Tech Medical Organization Management System
		14.5 Results
			14.5.1 Business Model of a High-Tech Medical Organization
			14.5.2 Reference Functional and Process Models for Managing a High-Tech Medical Organization
			14.5.3 The Formation of a KPI System of a High-Tech Medical Organization for Performance Monitoring
			14.5.4 The Process of Forming a Management System for a High-Tech Medical Organization Based on the Data-Driven Approach and an Intelligent Data Analysis Platform: Conceptual Level
			14.5.5 Reference Architectural Model of an Intelligent Platform for Data Analysis of a Medical Organization
			14.5.6 Reference Architectural Model of a Medical Organization Management System Based on the Data-Driven Approach and an Intelligent Data Analysis Platform
		14.6 Conclusion
		References
	Chapter 15: Asset Reliability Management in a Medical Organization
		15.1 Introduction
		15.2 Processes in a Medical Organization and Their Reflection in the Corporate Information System
		15.3 Tools for the Formation of a Strategy for the Maintenance of Medical Equipment
		References
	Chapter 16: Data-Driven Management of Medicine Provision in a Health Care Facility
		16.1 Introduction
		16.2 Literature Review
		16.3 Research Methodology
		16.4 Research Results
		16.5 Discussion: Limitation of Research and Direction for Future Research
		16.6 Conclusion
		References
Part IV: Entrepreneurship and Entrepreneurial Leadership
	Chapter 17: Elaboration and Proposal of a Global Model of Human Resource Management in Health Organizations
		17.1 Introduction
		17.2 Theoretical Framework: Models of HRMP in Health Organizations
			17.2.1 Human Resource Management: Concept and Perspectives
			17.2.2 Human Resource Management in Public Organizations
			17.2.3 Human Resource Management in Non-profit Organizations
		17.3 Methodology
		17.4 Presentation of the Results: HRMP Used in Health Organizations
		17.5 Proposal of an HRM/HRMP Model for Health Entities
		17.6 Conclusions
		References
	Chapter 18: Leadership and Intellectual Capital of Public Institutions
		18.1 Introduction
		18.2 Methods
		18.3 Results
			18.3.1 Description
			18.3.2 Thematic Analysis
				18.3.2.1 Thematic Developments in the Area of Leadership and Intellectual Capital in Public Institutions
				18.3.2.2 Software
				18.3.2.3 Analysis by Thematic Areas Identified
		18.4 Discussion
		18.5 Conclusions
			18.5.1 Limitations of the Study and Future Lines of Research
		Annex 18.1
		References
	Chapter 19: Leadership and Intellectual Capital in Social Sector Institutions
		19.1 Introduction
		19.2 Literature Review
			19.2.1 Leadership: Definition and Classification
			19.2.2 Intellectual Capital: Definition and Classification
			19.2.3 Human Capital
			19.2.4 Social Capital
			19.2.5 Structural Capital
		19.3 Methodology
		19.4 Results
			19.4.1 Descriptive Analysis
		19.5 Bibliographic Coupling Analysis
			19.5.1 Cluster 1—Effect of IC Dimensions on Productivity
			19.5.2 Cluster 2—Better Leadership Policies Through Social and Intellectual Capital
			19.5.3 Cluster 3—Factors that Contribute to Leadership Effectiveness in SIs
			19.5.4 Cluster 4—The Role of Social and Intellectual Capital in Recognizing Opportunities
		19.6 Discussion
		19.7 Conclusion
		References
	Chapter 20: The Effect of Leadership and Intellectual Capital on Organizational Performance
		20.1 Introduction
		20.2 Methodology
		20.3 Sample Analysis
		20.4 Co-citation Analysis
		20.5 Bibliographic Coupling
			20.5.1 Cluster 1 | Leadership Styles and Organizational Performance (N = 27)
			20.5.2 Cluster 2 | Intellectual Capital and Organizational Performance (N = 21)
			20.5.3 Cluster 3 | Organizational Sustainability (N = 8)
		20.6 Framework for Leadership and Intellectual Capital in the Performance of Organizations
		20.7 Future Lines of Research
		20.8 Conclusions
		References
	Chapter 21: Abusive Leadership: A Systematic Review of the Literature
		21.1 Introduction
		21.2 Protocol Research
		21.3 Search Profile
		21.4 Thematic Groups
			21.4.1 Cluster 1 (n = 29): Antecedents of Abusive Leadership and Supervision
				21.4.1.1 Cluster 1-A (n = 8): Classification of Types, Styles, and Leadership Behaviours in Abusive Supervision
				21.4.1.2 Cluster 1-B (n = 21): Elements of the Leader–Member Relationship in Abusive Supervision
			21.4.2 Cluster 2 (n = 15): Contextual, Leader, and Subordinate Factors of Abusive Leadership
			21.4.3 Cluster 3 (n = 13): The Effects of Abusive Leadership on Subordinates
			21.4.4 Cluster 4 (n = 13): Effects of Abusive Leadership on Teams
		21.5 Framework
		21.6 Implications, Limitations, Future Research, and Conclusions
			21.6.1 Theoretical Implications
			21.6.2 Practical Implications
			21.6.3 Limitations
			21.6.4 Research Agenda
			21.6.5 Conclusions
		References
	Chapter 22: Leadership and the Process of Internationalization of Family Businesses: A Systematic Review of Literature
		22.1 Introduction
		22.2 Methodology
		22.3 Results
			22.3.1 Descriptive Analysis
			22.3.2 Co-occurrence Analysis
				22.3.2.1 Cluster 1: Strategies for the Internationalization of Family Businesses
				22.3.2.2 Cluster 2: Impact of Leadership on Family Businesses
				22.3.2.3 Cluster 3: Performance and Impact of Family Businesses
			22.3.3 Co-citation Analysis
			22.3.4 Proposed Model for the Leadership and Internationalization of Family Businesses
		22.4 Conclusion
		References
	Chapter 23: The Formation of Opportunity Prototypes in Technology Entrepreneurship: Does Human Capital Matter?
		23.1 Introduction
		23.2 Theoretical Background
			23.2.1 The Entrepreneurial Opportunity and the Opportunity Prototypes
			23.2.2 Technology Entrepreneurship and Human Capital: A Solid Relationship
		23.3 Research Design
			23.3.1 Sample
			23.3.2 Measures
		23.4 Data Analysis
		23.5 Results
			23.5.1 Descriptive Statistics
			23.5.2 Novice vs. Experienced Entrepreneurs
			23.5.3 Formal Education
			23.5.4 Prior Work Experience
		23.6 Discussion
			23.6.1 Theoretical and Practical Implications
			23.6.2 Limitations and Future Research
		References
	Chapter 24: The Influence of Innovation and Leadership. Aptitudes on Students’ Entrepreneurial Intentions and the Impact of Innovation and Leadership on Future Career Anxiety Post COVID-19
		24.1 Introduction
		24.2 Literature Review, Hypotheses Development, and Aims
			24.2.1 Study Aims
		24.3 Methodology
			24.3.1 Procedure and Participants
			24.3.2 Measures
			24.3.3 Data Analysis
		24.4 Results
		24.5 Discussion
		References
	Chapter 25: Servant and Positive Leadership Styles: A Bibliometric Analysis and Literature Review
		25.1 Introduction
		25.2 Theoretical Framework
			25.2.1 Servant Leadership
			25.2.2 Positive Leadership
		25.3 Methodology
			25.3.1 Sample Selection
			25.3.2 Inclusion and Exclusion Criteria
			25.3.3 Research Protocol
			25.3.4 Tool to Analyse Articles
		25.4 Results
			25.4.1 Descriptive Analysis
			25.4.2 Intellectual Structure—Co-citation Analysis
			25.4.3 Conceptual Structure—Keyword Analysis
			25.4.4 Conceptual Structure—Map of Themes
			25.4.5 Conceptual Structure—Grouping Analysis
			25.4.6 Collaboration Analysis
		25.5 Discussion
			25.5.1 Servant Leadership, Comparative Analysis and Results
			25.5.2 Positive Leadership and Positive Behaviour
			25.5.3 Cultural/Gender Aspects of Leadership and New Generations
			25.5.4 Narrative Synthesis (Table 25.6)
			25.5.5 Limitations
			25.5.6 Contributions
			25.5.7 Conclusions and Future Agenda
		Appendices
			Appendix 25.1 PRISMA protocol checklist
			Appendix 25.2 List for systematic review
			Appendix 25.3 List for systematic review with the number of citations below the exclusion 05
		References
Index