A framework for an intelligent decision support system: A case in pathology test ordering

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Decision context, knowledge management, decision makers, and decision strategy are fundamental components for understanding decision support systems (DSSs). This paper describes the specific case of designing a framework for an intelligent DSS in the context of pathology test ordering by general practitioners (GPs). In doing so it illustrates the processes of discovering practical and relevant knowledge from pathology request data generated and stored in a professional pathology company, investigates and understands the decision makers (GPs) through a survey about their current practices in test ordering and their requirements for decision support, and finally proposes an intelligent decision support framework as the decision strategy to support GPs in ordering pathology tests more effectively and appropriately. The process and framework developed through this case contributes effective guidance for practitioners and theoretical understanding concerning intelligent decision support in a complex environment.
Original languageEnglish
Pages (from-to)476 - 487
Number of pages12
JournalDecision Support Systems
Volume55
Issue number2
DOIs
Publication statusPublished - 2013

Cite this

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title = "A framework for an intelligent decision support system: A case in pathology test ordering",
abstract = "Decision context, knowledge management, decision makers, and decision strategy are fundamental components for understanding decision support systems (DSSs). This paper describes the specific case of designing a framework for an intelligent DSS in the context of pathology test ordering by general practitioners (GPs). In doing so it illustrates the processes of discovering practical and relevant knowledge from pathology request data generated and stored in a professional pathology company, investigates and understands the decision makers (GPs) through a survey about their current practices in test ordering and their requirements for decision support, and finally proposes an intelligent decision support framework as the decision strategy to support GPs in ordering pathology tests more effectively and appropriately. The process and framework developed through this case contributes effective guidance for practitioners and theoretical understanding concerning intelligent decision support in a complex environment.",
author = "Zhuang, {Zoe Yan} and Carla Wilkin and Ceglowski, {Andrzej Stefan}",
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pages = "476 -- 487",
journal = "Decision Support Systems",
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A framework for an intelligent decision support system: A case in pathology test ordering. / Zhuang, Zoe Yan; Wilkin, Carla; Ceglowski, Andrzej Stefan.

In: Decision Support Systems, Vol. 55, No. 2, 2013, p. 476 - 487.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - A framework for an intelligent decision support system: A case in pathology test ordering

AU - Zhuang, Zoe Yan

AU - Wilkin, Carla

AU - Ceglowski, Andrzej Stefan

PY - 2013

Y1 - 2013

N2 - Decision context, knowledge management, decision makers, and decision strategy are fundamental components for understanding decision support systems (DSSs). This paper describes the specific case of designing a framework for an intelligent DSS in the context of pathology test ordering by general practitioners (GPs). In doing so it illustrates the processes of discovering practical and relevant knowledge from pathology request data generated and stored in a professional pathology company, investigates and understands the decision makers (GPs) through a survey about their current practices in test ordering and their requirements for decision support, and finally proposes an intelligent decision support framework as the decision strategy to support GPs in ordering pathology tests more effectively and appropriately. The process and framework developed through this case contributes effective guidance for practitioners and theoretical understanding concerning intelligent decision support in a complex environment.

AB - Decision context, knowledge management, decision makers, and decision strategy are fundamental components for understanding decision support systems (DSSs). This paper describes the specific case of designing a framework for an intelligent DSS in the context of pathology test ordering by general practitioners (GPs). In doing so it illustrates the processes of discovering practical and relevant knowledge from pathology request data generated and stored in a professional pathology company, investigates and understands the decision makers (GPs) through a survey about their current practices in test ordering and their requirements for decision support, and finally proposes an intelligent decision support framework as the decision strategy to support GPs in ordering pathology tests more effectively and appropriately. The process and framework developed through this case contributes effective guidance for practitioners and theoretical understanding concerning intelligent decision support in a complex environment.

U2 - 10.1016/j.dss.2012.10.006

DO - 10.1016/j.dss.2012.10.006

M3 - Article

VL - 55

SP - 476

EP - 487

JO - Decision Support Systems

JF - Decision Support Systems

SN - 0167-9236

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