Title
An ontological knowledge framework for adaptive medical workflow.
Abstract
As emerging technologies, semantic Web and SOA (Service-Oriented Architecture) allow BPMS (Business Process Management System) to automate business processes that can be described as services, which in turn can be used to wrap existing enterprise applications. BPMS provides tools and methodologies to compose Web services that can be executed as business processes and monitored by BPM (Business Process Management) consoles. Ontologies are a formal declarative knowledge representation model. It provides a foundation upon which machine understandable knowledge can be obtained, and as a result, it makes machine intelligence possible. Healthcare systems can adopt these technologies to make them ubiquitous, adaptive, and intelligent, and then serve patients better. This paper presents an ontological knowledge framework that covers healthcare domains that a hospital encompasses-from the medical or administrative tasks, to hospital assets, medical insurances, patient records, drugs, and regulations. Therefore, our ontology makes our vision of personalized healthcare possible by capturing all necessary knowledge for a complex personalized healthcare scenario involving patient care, insurance policies, and drug prescriptions, and compliances. For example, our ontology facilitates a workflow management system to allow users, from physicians to administrative assistants, to manage, even create context-aware new medical workflows and execute them on-the-fly.
Year
DOI
Venue
2008
10.1016/j.jbi.2008.05.012
Journal of Biomedical Informatics
Keywords
Field
DocType
business process management,adaptive medical workflow,business process,ontology,service oriented architecture,context-aware new medical workflows,complex personalized healthcare scenario,machine understandable knowledge,knowledge representation,ontological knowledge framework,healthcare domain,personalized healthcare,necessary knowledge,medical insurance,medical workflow,formal declarative knowledge representation,machine intelligence,workflow management system,semantic web,emerging technology,web service
Ontology (information science),Business process management,Data mining,Knowledge representation and reasoning,Business process,Computer science,Knowledge management,Business process modeling,Workflow engine,Workflow,Workflow management system
Journal
Volume
Issue
ISSN
41
5
1532-0480
Citations 
PageRank 
References 
35
1.60
2
Authors
4
Name
Order
Citations
PageRank
Jiangbo Dang19110.27
Amir Hedayati2371.99
Ken Hampel3412.61
Candemir Toklu411612.07