A Knowledge-Based Variance Management System for Supporting the Implementation of Clinical Pathways

Variance management is important for computerized implementation of clinical pathways (CPs) to dynamically execute patient care processes and effectively provide high quality and efficient healthcare services. However, current related efforts are not adequate to support variance handling process inv...

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Bibliographic Details
Published in2009 International Conference on Management and Service Science pp. 1 - 4
Main Authors Yan Ye, Xiaodi Diao, Zhibin Jiang, Gang Du
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2009
Subjects
Analysis of variance
Engineering management
Fuzzy reasoning
Industrial engineering
Knowledge management
Logistics
Medical services
Quality management
Technology management
Unified modeling language
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ISBN1424446384
9781424446384
DOI10.1109/ICMSS.2009.5305190

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Summary:Variance management is important for computerized implementation of clinical pathways (CPs) to dynamically execute patient care processes and effectively provide high quality and efficient healthcare services. However, current related efforts are not adequate to support variance handling process involving two decision strategies, imprecise knowledge and the interaction with standardized CP workflow. This paper presents a knowledge-based variance management system that is developed using object-oriented analysis and design techniques, especially Unified Modeling Language (UML), and implements effective analysis and handling of various variances through the construction and fuzzy reasoning of generalized fuzzy ECA (GFECA) rules and typed fuzzy Petri net extended by process knowledge (TFPN-PK) models related to the clinical pathway ontology and healthcare domain ontology.
ISBN:1424446384
9781424446384
DOI:10.1109/ICMSS.2009.5305190