Healthcare 4. 0 : Next Generation Processes with the Latest Technologies.

By: Chanchaichujit, JanyaContributor(s): Tan, Albert | Meng, Fanwen | Eaimkhong, SarayootMaterial type: TextTextSeries: eBooks on DemandPublisher: Singapore : Springer Singapore Pte. Limited, 2019Copyright date: ©2019Description: 1 online resource (216 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9789811381140Subject(s): Medical technology | Health services administration-Technological innovationsGenre/Form: Electronic books.Additional physical formats: Print version:: Healthcare 4. 0 : Next Generation Processes with the Latest TechnologiesDDC classification: 610.28 LOC classification: HB71-74Online resources: Click here to view this ebook.
Contents:
Intro -- Preface -- Acknowledgements -- Contents -- About the Authors -- List of Figures -- List of Tables -- Chapter 1: An Introduction to Healthcare 4.0 -- 1.1 Introduction -- 1.2 Industry 4.0 -- 1.2.1 Key Components of Industry 4.0 -- Cyber-Physical Systems (CPS) -- Internet of Things (IoT) -- Internet of Services (IoS) -- Smart Factory -- 1.2.2 Core Principles of Industry 4.0 -- Interoperability -- Modularity -- Virtualization -- Real-Time Capabilities -- Decentralization -- Service Orientation -- 1.3 Challenges in Implementing Information Technologies in Healthcare -- 1.4 Stages in Healthcare IT Transformation -- 1.5 Drivers for Healthcare 4.0 -- 1.6 Recommendations -- 1.7 Conclusion -- References -- Chapter 2: Internet of Things (IoT) and Big Data Analytics in Healthcare -- 2.1 Overview of the Healthcare Supply Chain -- 2.2 Interoperability Issues in the Healthcare Supply Chain -- 2.3 Internet of Things (IoT) -- 2.3.1 Internet of Things (IoT) in the Healthcare Supply Chain -- Clinical Care -- Remote Control -- 2.3.2 Challenges of Implementing the Internet of Things -- Interoperability -- Data Management -- Privacy and Security -- 2.4 Overview of Big Data Analytics in Healthcare -- 2.5 How to Implement Big Data in Healthcare -- 2.5.1 Type and Source of Healthcare Big Data -- 2.5.2 Techniques and Technologies Used in Healthcare Big Data Analytics -- 2.5.3 Application of Big Data Analytics in Healthcare -- 2.6 Case Study -- 2.6.1 Big Data Analytics in Managing the Future Health of Singapore -- 2.6.2 Diabetes in Singapore-A Nation's Big Challenge -- 2.6.3 Challenges to Implementing Big Data in Healthcare -- 2.7 Conclusion -- References -- Chapter 3: Blockchain Technology in Healthcare -- 3.1 Blockchain Technology -- 3.1.1 Smart Contract in Blockchain -- 3.1.2 Blockchain in the Healthcare Industry -- Smart Healthcare Management.
3.1.3 Challenges of Implementing Blockchain -- Security -- Scalability -- Legality -- 3.2 Case Studies -- 3.2.1 Case Study 1: Using Blockchain Technology for EHR Systems in Developing Countries -- Proposed Architecture -- Benefits of the Proposed Architecture -- Potential Risks in Using Blockchain -- 3.2.2 Case Study 2: Using Blockchain in the Pharmaceutical Industry -- Data Standardization for Traceability Systems -- Raw Material and Manufacturing Process -- Wholesaler -- 3.3 Conclusion -- References -- Chapter 4: Application of Artificial Intelligence in Healthcare -- 4.1 Introduction -- 4.1.1 Machine Learning -- 4.1.2 Neuro Learning -- 4.1.3 Deep Learning -- 4.2 Case Study -- 4.2.1 Case Study 1-The Role and Significance of Artificial Intelligence in the Control and Management of Tuberculosis -- Tuberculosis, Worldwide Health Issues -- Complexity of the Disease, and Problems in Tuberculosis Diagnosis -- Current Diagnosis of Tuberculosis and Intervention -- Initiative to Use Technologies in Solving Unmet Needs -- Using Artificial Intelligence in TB Diagnosis -- Current Limitations of AI and Improvement -- 4.3 Innovation Management of Tuberculosis in Thailand Using Artificial Intelligence -- 4.3.1 TB Situation in Thailand and Opportunities for AI in TB Diagnosis -- 4.3.2 Shortfalls of Current AI Platforms in TB Diagnosis -- 4.3.3 Alternative Models and Key Success Contributors for the Implementation of AI in TB -- 4.4 Conclusion -- References -- Chapter 5: Optimization, Simulation and Predictive Analytics in Healthcare -- 5.1 Overview of Operations Research in the Healthcare System -- 5.2 How to Apply Operations Research in Healthcare -- 5.2.1 Healthcare Service Planning -- 5.2.2 Healthcare Management and Logistics -- 5.2.3 Clinical Practice -- 5.3 Case Studies -- 5.3.1 Case Study 1. Managing Elective Admissions Using the Robust Optimization Approach.
Background -- Model Description -- Numerical Experiment -- 5.3.2 Case Study 2. Shift Capacity Planning for Nursing Staff Using Mixed Integer Programming -- Background -- Model Description -- Numerical Experiment -- 5.3.3 Case Study 3. Analysis of Patient Waiting Time Governed by a Generic Maximum Waiting Time Policy -- Background -- Model Description -- Numerical Experiment -- 5.4 Conclusion -- References -- Chapter 6: Innovative Health Technologies and Start-Ups Process in Healthcare Industry -- 6.1 Introduction to the Health Technology -- 6.2 Challenges and Trends in the Healthcare Systems -- 6.2.1 Rising Healthcare Expenditure -- 6.2.2 Life Expectancy Increase -- 6.2.3 Rise of Technology and High Expectations -- 6.2.4 Shortage of Healthcare Personnel -- 6.3 Health Technology for the Future -- 6.3.1 Digital Healthcare -- Digital Technology and Healthcare -- Classification of Digital Health Technology -- The Application of Digital Health Technology -- 6.3.2 Personalized Healthcare -- Next Generation Sequencing Enabling Precision Medicine -- Precision Medicine -- Wearable Technology -- 6.3.3 Nanorobotics and Nanomedicine -- 6.4 Development of Health Technology and Healthcare Start-Ups -- 6.4.1 Smart Healthcare Industry: Future Value Chain in Healthcare -- 6.4.2 Technology and Innovation Development Processes in Health Technology -- 6.4.3 Regulatory and Legal Requirements -- 6.4.4 Start-Ups and Entrepreneurship in Health Technology -- Health Technology and Innovation Landscape -- 6.5 Conclusion -- References -- Chapter 7: Transforming and Managing Healthcare Projects -- 7.1 Process Transformation -- 7.1.1 Step 1: Assumption Surfacing -- 7.1.2 Step 2: Challenging Assumptions -- 7.1.3 Step 3: Idea Generation -- 7.1.4 Step 4: Idea Grouping -- 7.1.5 Step 5: Idea Evaluation -- 7.1.6 Step 6: Ideas Integration and Digitization.
7.1.7 Step 7: Process Validation and Implementation -- Review Business and Policy Developments -- Quantify Projected Benefits -- Propose New Organization Structure -- Justify IT Investments -- Identify Skills Gaps -- Develop Migration Plan -- 7.1.8 Step 8: Project Management and Change Management -- Waterfall Methodology -- Agile Methodology -- When to Choose the Waterfall or Agile Methodology for a Healthcare Project -- 7.2 Challenges Faced in Managing Healthcare IT Projects -- 7.2.1 Patient Safety -- 7.2.2 IT Integration Difficulties -- 7.2.3 Lack of Commitment -- 7.2.4 Resources Constraints -- 7.2.5 Changes in Regulations -- 7.2.6 Fear of Job Loss -- 7.2.7 Change of Organizational Structure and Culture -- 7.3 Change Management Is an Important Part of Healthcare Transformation Projects -- 7.3.1 Political Skills -- 7.3.2 Analytical Skills -- 7.3.3 People Skills -- 7.3.4 Leadership Skills -- 7.4 Key Success Factors for Implementing Large-Scale IT Systems -- References -- Chapter 8: Conclusion -- 8.1 Implementing Healthcare 4.0 -- Index.
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Intro -- Preface -- Acknowledgements -- Contents -- About the Authors -- List of Figures -- List of Tables -- Chapter 1: An Introduction to Healthcare 4.0 -- 1.1 Introduction -- 1.2 Industry 4.0 -- 1.2.1 Key Components of Industry 4.0 -- Cyber-Physical Systems (CPS) -- Internet of Things (IoT) -- Internet of Services (IoS) -- Smart Factory -- 1.2.2 Core Principles of Industry 4.0 -- Interoperability -- Modularity -- Virtualization -- Real-Time Capabilities -- Decentralization -- Service Orientation -- 1.3 Challenges in Implementing Information Technologies in Healthcare -- 1.4 Stages in Healthcare IT Transformation -- 1.5 Drivers for Healthcare 4.0 -- 1.6 Recommendations -- 1.7 Conclusion -- References -- Chapter 2: Internet of Things (IoT) and Big Data Analytics in Healthcare -- 2.1 Overview of the Healthcare Supply Chain -- 2.2 Interoperability Issues in the Healthcare Supply Chain -- 2.3 Internet of Things (IoT) -- 2.3.1 Internet of Things (IoT) in the Healthcare Supply Chain -- Clinical Care -- Remote Control -- 2.3.2 Challenges of Implementing the Internet of Things -- Interoperability -- Data Management -- Privacy and Security -- 2.4 Overview of Big Data Analytics in Healthcare -- 2.5 How to Implement Big Data in Healthcare -- 2.5.1 Type and Source of Healthcare Big Data -- 2.5.2 Techniques and Technologies Used in Healthcare Big Data Analytics -- 2.5.3 Application of Big Data Analytics in Healthcare -- 2.6 Case Study -- 2.6.1 Big Data Analytics in Managing the Future Health of Singapore -- 2.6.2 Diabetes in Singapore-A Nation's Big Challenge -- 2.6.3 Challenges to Implementing Big Data in Healthcare -- 2.7 Conclusion -- References -- Chapter 3: Blockchain Technology in Healthcare -- 3.1 Blockchain Technology -- 3.1.1 Smart Contract in Blockchain -- 3.1.2 Blockchain in the Healthcare Industry -- Smart Healthcare Management.

3.1.3 Challenges of Implementing Blockchain -- Security -- Scalability -- Legality -- 3.2 Case Studies -- 3.2.1 Case Study 1: Using Blockchain Technology for EHR Systems in Developing Countries -- Proposed Architecture -- Benefits of the Proposed Architecture -- Potential Risks in Using Blockchain -- 3.2.2 Case Study 2: Using Blockchain in the Pharmaceutical Industry -- Data Standardization for Traceability Systems -- Raw Material and Manufacturing Process -- Wholesaler -- 3.3 Conclusion -- References -- Chapter 4: Application of Artificial Intelligence in Healthcare -- 4.1 Introduction -- 4.1.1 Machine Learning -- 4.1.2 Neuro Learning -- 4.1.3 Deep Learning -- 4.2 Case Study -- 4.2.1 Case Study 1-The Role and Significance of Artificial Intelligence in the Control and Management of Tuberculosis -- Tuberculosis, Worldwide Health Issues -- Complexity of the Disease, and Problems in Tuberculosis Diagnosis -- Current Diagnosis of Tuberculosis and Intervention -- Initiative to Use Technologies in Solving Unmet Needs -- Using Artificial Intelligence in TB Diagnosis -- Current Limitations of AI and Improvement -- 4.3 Innovation Management of Tuberculosis in Thailand Using Artificial Intelligence -- 4.3.1 TB Situation in Thailand and Opportunities for AI in TB Diagnosis -- 4.3.2 Shortfalls of Current AI Platforms in TB Diagnosis -- 4.3.3 Alternative Models and Key Success Contributors for the Implementation of AI in TB -- 4.4 Conclusion -- References -- Chapter 5: Optimization, Simulation and Predictive Analytics in Healthcare -- 5.1 Overview of Operations Research in the Healthcare System -- 5.2 How to Apply Operations Research in Healthcare -- 5.2.1 Healthcare Service Planning -- 5.2.2 Healthcare Management and Logistics -- 5.2.3 Clinical Practice -- 5.3 Case Studies -- 5.3.1 Case Study 1. Managing Elective Admissions Using the Robust Optimization Approach.

Background -- Model Description -- Numerical Experiment -- 5.3.2 Case Study 2. Shift Capacity Planning for Nursing Staff Using Mixed Integer Programming -- Background -- Model Description -- Numerical Experiment -- 5.3.3 Case Study 3. Analysis of Patient Waiting Time Governed by a Generic Maximum Waiting Time Policy -- Background -- Model Description -- Numerical Experiment -- 5.4 Conclusion -- References -- Chapter 6: Innovative Health Technologies and Start-Ups Process in Healthcare Industry -- 6.1 Introduction to the Health Technology -- 6.2 Challenges and Trends in the Healthcare Systems -- 6.2.1 Rising Healthcare Expenditure -- 6.2.2 Life Expectancy Increase -- 6.2.3 Rise of Technology and High Expectations -- 6.2.4 Shortage of Healthcare Personnel -- 6.3 Health Technology for the Future -- 6.3.1 Digital Healthcare -- Digital Technology and Healthcare -- Classification of Digital Health Technology -- The Application of Digital Health Technology -- 6.3.2 Personalized Healthcare -- Next Generation Sequencing Enabling Precision Medicine -- Precision Medicine -- Wearable Technology -- 6.3.3 Nanorobotics and Nanomedicine -- 6.4 Development of Health Technology and Healthcare Start-Ups -- 6.4.1 Smart Healthcare Industry: Future Value Chain in Healthcare -- 6.4.2 Technology and Innovation Development Processes in Health Technology -- 6.4.3 Regulatory and Legal Requirements -- 6.4.4 Start-Ups and Entrepreneurship in Health Technology -- Health Technology and Innovation Landscape -- 6.5 Conclusion -- References -- Chapter 7: Transforming and Managing Healthcare Projects -- 7.1 Process Transformation -- 7.1.1 Step 1: Assumption Surfacing -- 7.1.2 Step 2: Challenging Assumptions -- 7.1.3 Step 3: Idea Generation -- 7.1.4 Step 4: Idea Grouping -- 7.1.5 Step 5: Idea Evaluation -- 7.1.6 Step 6: Ideas Integration and Digitization.

7.1.7 Step 7: Process Validation and Implementation -- Review Business and Policy Developments -- Quantify Projected Benefits -- Propose New Organization Structure -- Justify IT Investments -- Identify Skills Gaps -- Develop Migration Plan -- 7.1.8 Step 8: Project Management and Change Management -- Waterfall Methodology -- Agile Methodology -- When to Choose the Waterfall or Agile Methodology for a Healthcare Project -- 7.2 Challenges Faced in Managing Healthcare IT Projects -- 7.2.1 Patient Safety -- 7.2.2 IT Integration Difficulties -- 7.2.3 Lack of Commitment -- 7.2.4 Resources Constraints -- 7.2.5 Changes in Regulations -- 7.2.6 Fear of Job Loss -- 7.2.7 Change of Organizational Structure and Culture -- 7.3 Change Management Is an Important Part of Healthcare Transformation Projects -- 7.3.1 Political Skills -- 7.3.2 Analytical Skills -- 7.3.3 People Skills -- 7.3.4 Leadership Skills -- 7.4 Key Success Factors for Implementing Large-Scale IT Systems -- References -- Chapter 8: Conclusion -- 8.1 Implementing Healthcare 4.0 -- Index.

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