Systems Engineering Approach to Medical Automation

Name: Systems Engineering Approach to Medical Automation
Brand: Artech House
Price: 97.49 EUR
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Robin Felder(Editor)

Artech House (Publisher)

1st Edition

Published on 1. January 2008

320 pages

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978-1-59693-165-7 (ISBN)

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Systems Engineering Approach to Medical Automation
Contents
Preface
Chapter 1: Introduction to Medical Automation
1.1 Introduction
1.2 The Need for Improved Process Management in Medicine
1.3 Knowledge Empowers Automation
1.4 Personalization of Medicine Enabled by Technology
1.5 Applications of Automation
1.5.1 Bar Coding, RFID, and Wireless Tracking
1.6 Summary and Conclusion
References
Chapter 2: Human Factors Issues with Automation
2.1 Human Factors
2.2 Human Factors in Healthcare
2.3 Automation
2.3.1 Advantages of Automation
2.3.2 Disadvantages of Automation
2.4 Creating More Effective Automation
2.5 Adaptive Automation
2.6 Conclusion
References
Selected Bibliography
Chapter 3: Mathematical Modeling for Medical Automation
3.1 Introduction
3.1.1 Medical Automation
3.1.2 Modeling and Automation
3.2 Mathematical Modeling
3.2.1 Basic Approaches for Model Creation
3.2.2 Mathematical Modeling Techniques for Automation
3.3 Applications of Mathematical Modeling in Medical Automation
3.3.1 Modeling of Medical Robotics
3.3.2 Dynamics Modeling of Neutrophils Production from Stem Cells
3.3.3 Modeling of Biological Immune System
3.4 Discussion and Conclusion
References
Chapter 4: Contact Dynamic Simulation of Micro-/Nanoscale Manipulation for Medical Applications
4.1 Introduction
4.2 Modeling of Nanoscale System Dynamics
4.3 Modeling of Individual Forces
4.3.1 Van der Waals Force
4.3.2 Electrostatic Force
4.3.3 Contact Force
4.3.4 Sliding Friction Force
4.3.5 Rolling Friction Moment
4.4 Numerical Simulation
4.5 Simulation of the Manipulation of Stem Cell Inner Mass
4.6 Concluding Remarks
References
Chapter 5: Modeling and Mathematical Analysis of Swarms of Microscopic Robots for Medical Diagnostics
5.1 Microscopic Robots
5.2 Evaluating Collective Robot Performance
5.3 Modeling Behavior of Microscopic Robots
5.3.1 Fluid Flow and Geometry
5.3.2 Chemical Sensing
5.4 Task Scenario
5.4.1 Example Task Environment
5.4.2 Diffusion of Robots and Chemicals
5.4.3 Control
5.4.4 Analysis of Behavior
5.4.5 Detection Performance
5.5 Discussion
Acknowledgments
References
Chapter 6: Medical and Biometric Identification for Pattern Recognition and Data Fusion with Quantitative Measuring
6.1 Introduction
6.2 Overview of Practical Approaches
6.2.1 Principal Component Analysis
6.2.2 Nonlinear Component Analysis
6.2.3 Independent Component Analysis
6.2.4 2-D Discrete Wavelet Transform
6.2.5 Image Processing Background [1, 5]
6.2.6 Image Registration Models
6.2.7 Area-Based Intramodality Registration: Cross Correlation and FourierTransform [29-36]
6.2.8 Feature-Based Multimodality Registration [26-28]
6.2.9 Image Fusion
6.3 Practical Implementation of Medical and Biometric System Identification
6.3.1 Linear and Nonlinear Component Analysis Approach
6.3.2 Independent Component Analysis Approach
6.3.3 2-D Discrete Wavelet Transform Approach
6.3.4 Intramodality Area-Based Registration and Fusion
6.3.5 Multimodality Feature-Based Image Registration
6.3.6 Optimal Fusion Based on Common Pixel Count Maximization
References
Chapter 7: Lab-on-a-Chip Automation of Laboratory Diagnostics: Lipoprotein Subclass Separation Automation
7.1 Introduction
7.2 Lipoprotein Subclass Assay
7.2.1 Classifications and Functions of Serum Lipoproteins
7.2.2 Cardiovascular Diseases Diagnosis
7.2.3 Current Technologies of Lipoprotein Subclass Assay
7.3 Lab-on-a-Chip Bio-Analyzer for HDL and LDL Subclass Separation
7.4 Automated Lipoprotein Subclass Separation
7.4.1 Robotic Liquid Handling for Sample Preparation
7.4.2 Software Automation
7.5 Experimental Results
7.5.1 Lab-on-a-Chip Assay of HDL Subclasses
7.5.2 Quantification of Total HDL Concentration
7.6 Discussion and Conclusion
References
Chapter 8: Clinical Laboratory Automation
8.1 Definition of Laboratory Automation
8.2 History of Clinical Laboratory Automation
8.2.1 Specimen Labeling
8.3 Definitions
8.3.1 Workstation
8.3.3 Total Laboratory Automation
8.3.2 Workcells
8.4 Pediatric Samples
8.5 Process Control
8.6 Automated Clinical Laboratory Efficiency and Quality Programs
8.7 Automated Centrifugation
8.8 Automated Decapping and Recapping
8.9 Automated Storage and Retrieval
8.10 Automated Aliquotting
8.11 Mobile Robotics
8.12 Point-of-Care Automation
8.13 System Integration
8.14 Summary and Conclusion
References
Chapter 9: Pharmacy Automation Technologies
9.1 Background
9.2 Technology and Automation: Hospitals
9.3 Effect of Automation on Efficiency in Hospitals
9.4 Effect of Automation on Medication Errors in Hospitals
9.5 Medication Administration Errors in Hospitals
9.6 Technology and Automation: Community Pharmacy
9.7 Effect of Automation on Dispensing Errors: Community Pharmacy
9.8 Examples of Problems with Automation That Can Affect Medication Safety
9.9 Conclusion
References
Chapter 10: Automation Technologies in the Operating Room
10.1 Introduction
10.2 Prosthetic Hip Surgery
10.3 AESOP
10.4 HERMES OR Control Center
10.5 Zeus
10.6 da Vinci
10.7 RP-7
10.8 The Future
References
Chapter 11: Health Care Supply Chain Automation
11.1 Introduction
11.2 Rationale for Healthcare Supply Chain Automation
11.3 History of Supply Chain Automation Technologies in Health Care
11.4 Supply Chain Automation Implementation
11.5 Future Possibilities
References
Chapter 12: Process Management Using Information Systems: Principles and Systems
12.1 Introduction
12.2 Process Management and Control: Definitions
12.2.1 Process and Business Process
12.2.2 Process Management
12.2.3 Workflow, Workflow Management, and Workflow ManagementSystem
12.2.4 Resources
12.3 System Architecture
12.4 Scheduling Workflow in Real Time
12.4.1 Introduction
12.4.2 Scheduling
12.5 Usable Software Languages
12.5.1 Platforms
12.5.2 Databases
12.5.3 Audit Trails
Selected Bibliography
Chapter 13: Telehealth and Telemedicine Technologies: Overview, Benefits, and Implications
13.1 Introduction
13.2 Status of and Implications for Rural Healthcare in America
13.3 Implications for Urban Healthcare
13.4 Correctional Populations
13.5 Serving the Elderly
13.6 Challenges to Telehealth: Reimbursement
13.7 Home Telehealth
13.8 Requirements for Telehealth Technologies
13.8.1 Acceptance and Usability of Advanced Technologies
13.8.2 Standardization and Interoperability
13.8.3 Backend IT Systems (EMR, EHR, PHR)
13.9 Conclusion
References
Chapter 14: Automated In-Home Patient Monitoring: Geriatric Care Application
14.1 Introduction
14.2 Model for Care Enabled by Ambient Intelligence
14.3 Requirements for Success
14.4 Example Passive Monitoring Systems
14.4.1 Activity Monitoring System
14.4.2 Passive In-Bed Vital Signs Monitor
14.4.3 Passive Floor Vibration-Based Fall Detector and Gait Monitor
14.4.5 Instrumented Walker for the Passive Monitoring of Gait and Balance
14.4.6 Summary of Field Pilot Results
14.5 Related Work
14.6 Conclusion
References
Chapter 15: Connected Medicine
15.1 Introduction
15.2 Applications
15.2.1 Expert Knowledge: Web Sites
15.2.2 Self-Help
15.2.3 SMS
15.2.4 Measuring Device Linked by PHA to Expert Systems
15.2.5 Medical Data on a SIM Card
15.2.6 Exercise and Rehabilitation
15.2.7 Links to Nutrition Information Expert Knowledge Systems
15.2.8 Epilepsy Alert
15.2.9 Body-Worn Sensors
References
Chapter 16: Information Technology Networks, Data Management, and Electronic Medical Records
16.1 Introduction
16.2 IT Networks for Medical Information Management
16.2.1 Online Medical Records Systems
16.2.2 Health IT Networks for the Private Practice
16.2.3 Picture Archiving Communications Systems
16.2.4 Assessing the Implementation Success and Maturity of Health IT Networks
16.2.5 Network Architectures
16.2.6 Bandwidth Requirements
16.2.7 Protocols
16.2.8 Security Considerations
16.2.9 Network Management
16.2.10 Storage Management
16.3 Data Management
16.3.1 Introduction
16.3.2 Architecture for Data Management
16.3.3 The Master Patient Index
16.3.4 Data Management Functions
16.3.5 Design Considerations
16.4 Electronic Medical Records
16.4.1 Introduction
16.4.2 Interoperability
16.4.3 Medical Terminology
16.4.4 Classification Systems
16.4.5 Health Level 7 (HL7) Standards for EMR/EHR
16.4.6 Longitudinal EHR
16.4.7 Web Services Standards
16.4.8 EMR/EHR Privacy and Security
16.4.9 The Personal Health Record
16.5 The Nationwide Health Information Network in the United States
16.5.1 Advantages of the NHIN
16.5.2 Implementing the NHIN: Implications for Healthcare IT
References
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