Authors:
Anthony S. Atkins
1
;
Lizong Zhang
1
;
Hongnian Yu
1
and
Weiya Miao
2
Affiliations:
1
Staffordshire University, United Kingdom
;
2
Chengdu University of Traditional Chinese Medicine, China
Keyword(s):
Intelligent systems, Healthcare waste, Knowledge hub, Radio Frequency Identification (RFID), Digital imagery.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Applications
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Business and Social Applications
;
Communication and Software Technologies and Architectures
;
Data Engineering
;
Distributed and Mobile Software Systems
;
e-Business
;
Enterprise Information Systems
;
Government
;
Knowledge Engineering
;
Knowledge Engineering and Ontology Development
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Methodologies, Processes and Platforms
;
Mobile Services and Architectures
;
Model-Driven Software Development
;
Multi-Agent Systems
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Software Engineering
;
Supply-Chain Management
;
Symbolic Systems
;
Web and Mobile Business Systems and Services
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
;
Web Personalization
;
Workflow Management Systems
Abstract:
The paper describes an intelligence system using a knowledge hub integrated Radio Frequency Identification (RFID) technology and digital imagery in the management of healthcare waste. This paper outlines the definition of healthcare waste both in the United Kingdom and China together with recent changes in the classification of this waste in the last few years with regard to clinical, laboratory testing and biological waste etc. Statistical information regarding the quantity of healthcare waste is outlined indicating predicted interpretation of future of waste production and the issues involved in traditional incineration and land fill operations. The paper describes a knowledge hub to provide monitoring, tracking and verification systems to assist government agents in providing audited records for anticipated legislation and public scrutiny. The system using rule-based intelligence systems linked to developed simulation software to provide logistical support via what- if scenarios.