Title
Research and Development of Semantics-based Sharable Clinical Pathway Systems
Abstract
The clinical pathway (CP) as a novel medical management schema is beneficial for reducing the length of stay, decreasing heath care costs, standardizing clinical activities, and improving medical quality. However, the practicability of CPs is limited by the complexity and expense of adding the standard functions of electronic CPs to existing electronic medical record (EMR) systems. The purpose of this study was to design and develop an independent clinical pathway (ICP) system that is sharable with different EMR systems. An innovative knowledge base pattern was designed with separate namespaces for global knowledge, local knowledge, and real-time instances. Semantic web technologies were introduced to support knowledge sharing and intelligent reasoning. The proposed system, which was developed in a Java integrated development environment, achieved standard functions of electronic CPs without modifying existing EMR systems and integration environments in hospitals. The interaction solution between the pathway system and the EMR system simplifies the integration procedures with other hospital information systems. Five categories of transmission information were summarized to ensure the interaction process. Detailed procedures for the application of CPs to patients and managing exceptional alerts are presented by explicit data flow analysis. Compared to embedded pathway systems, independent pathway systems feature greater feasibility and practicability and are more advantageous for achieving the normalized management of standard CPs.
Year
DOI
Venue
2015
10.1007/s10916-015-0257-8
Journal of Medical Systems
Keywords
Field
DocType
Clinical pathways, Knowledge base construction, Electronic medical record systems, Interactive process
Information system,Clinical pathway,Data mining,Knowledge sharing,Computer security,Semantic Web,Data-flow analysis,Knowledge base,Java,Medicine,Semantics
Journal
Volume
Issue
ISSN
39
7
1573-689X
Citations 
PageRank 
References 
41
0.87
19
Authors
5
Name
Order
Citations
PageRank
Hua-Qiong Wang1410.87
Tian-Shu Zhou218210.18
Yi-Fan Zhang3511.37
Li Chen4483.36
Jing-Song Li522211.02