Author:
Mike Krey
Affiliation:
Center of Business Information Systems, School of Management, Zurich University for Applied Sciences, Switzerland
Related
Ontology
Subjects/Areas/Topics:
Applications of Expert Systems
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Artificial Intelligence
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Artificial Intelligence and Decision Support Systems
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Biomedical Engineering
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Biomedical Signal Processing
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Business Process Management
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Computational Intelligence
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Coupling and Integrating Heterogeneous Data Sources
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Databases and Information Systems Integration
;
Design Methodology and Cognitive Factors in Design
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e-Business
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Enterprise Engineering
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Enterprise Information Systems
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Functional and Non-Functional Requirements
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Health Engineering and Technology Applications
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Human-Computer Interaction
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Information Engineering Methodologies
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Information Systems Analysis and Specification
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Intelligent Social Agents and Distributed Artificial Intelligence Applications
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Knowledge Management and Information Sharing
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Knowledge-Based Systems
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Market-Spaces: Market Portals, Hubs, Auctions
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Methodologies and Methods
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Methodologies, Processes and Platforms
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Middleware Integration
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Middleware Platforms
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Mobile Databases
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Model-Driven Software Development
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Modeling Concepts and Information Integration Tools
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Multimedia Systems
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Neural Network Software and Applications
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Neural Networks
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Neurocomputing
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Neurotechnology, Electronics and Informatics
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Object-Oriented Database Systems
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Pattern Recognition
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Physiological Computing Systems
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Process Design and Organisational Issues in E-Commerce
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Requirements Analysis And Management
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Semiotics
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Sensor Networks
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Signal Processing
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Soft Computing
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Software Agents and Internet Computing
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Software Engineering
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Software Measurement
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Symbolic Systems
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Systems Engineering
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Technology Platforms
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Telecommunications
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Theory and Methods
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Wireless and Mobile Computing
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Wireless and Mobile Technologies
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Wireless Information Networks and Systems
Abstract:
The tasks and objectives of automatic identification (Auto-ID) are to provide information on goods and products. It has already been established for years in the areas of logistics and trading and can no longer be ignored by the German health care sector [3, 9]. Some German hospitals have already discovered the capabilities of Auto-ID. Improvements in quality, safety and reductions in risk, cost and time are aspects and areas where improvements are achievable. Privacy protection, legal restraints, and the personal rights of pa- tients and staff members are just a few aspects which make the heath care sec- tor a sensible field for the implementation of Auto-ID [4]. Auto-ID in this con- text contains the different technologies, methods and products for the registra- tion, provision and storage of relevant data [6] With the help of a quantifiable and science-based evaluation, an answer is sought as to which Auto-ID has the highest capability to be implemented in health care business.