Task-oriented Requirements Engineering for Personal Decision Support Systems

2018 ◽  
pp. 212-238
Author(s):  
Christian Kücherer ◽  
Barbara Paech
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Requirements Engineering ◽  
Support Systems ◽  
Task Oriented ◽  
Personal Decision

Determinants of the effectiveness of personal decision support systems

1986 ◽  
Vol 10 (2) ◽  
pp. 83-89 ◽  
Author(s):  
Sidney R. Snitkin ◽  
William R. King
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Personal Decision

Personalized Decision Support Systems

2011 ◽  
pp. 1310-1315
Author(s):  
Neal Shambaugh
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Ad Hoc ◽  
Support Systems ◽  
Governmental Agencies ◽  
Planning Decisions ◽  
Processing Information ◽  
Evolutionary Growth ◽  
Local Agencies ◽  
Personal Decision

Decision support systems (DSS) are computerized systems that assist humans to make decisions. Early versions were designed for executives, but over time DSSs were designed for workers at any level in the organization (Keen & Morton, 1978; Rockart, 1979). Due to increasing costs in providing benefits and services, organizations are forcing workers and consumers to take increasing responsibility for insurance, health care, and financial planning decisions. Extreme events, such as terrorism, pandemics, and natural disasters will swamp the capacity of governmental agencies to serve their citizenry. Individuals in affected communities must turn to local agencies or ad hoc groups for assistance. Personal decision support systems (PDSS), consisting of databases, model-based expertise, and intelligent interfaces, along with wireless communications, Internet resources, and personal computing, provide sufficient resources to assist informed individuals and groups in solving problems. This article reviews the typical components of a DSS and the different types of systems that have evolved. The article poses three types of problems facing individuals, including routine problem solving, immediate survival needs, and long-term evolutionary growth. Personal decision support issues of acquiring information, processing information, and dissemination are outlined. Future trends and research opportunities are discussed

The Need for Requirements Engineering in the Development of Clinical Decision-Support Systems: A Qualitative Study

1994 ◽  
Vol 33 (02) ◽  
pp. 227-233 ◽  
Author(s):  
M. Johansson ◽  
T. Timpka
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Requirements Engineering ◽  
Clinical Decision Support ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Structured Interviews ◽  
Support Design ◽  
Development Methods

Abstract:Insufficient requirements analysis has recently been suggested as a problem in clinical decision-support systems development. Therefore, to explore knowledge, practices and attitudes, key professionals in the area from four countries were interviewed regarding the early phases in the development process. For data collection, semi-structured interviews were performed and video-taped. As reference, documentation of the Action Design requirements engineering methodology was used. Two separate qualitative analyses of the data were made. The first was to identify central concepts and attitudes related to requirements engineering. In the second anlysis, concrete circumstances surrounding decisions to use requirements engineering methods were investigated. This paper reports the results of the analyses and discusses changes in the planning and management of clinical decision-support projects in general, and it comments on development methods, using Action Design as reference. It is concluded that studies are needed to further investigate the problems real decision-support projects have to deal with. This knowledge can then be used to develop methods and tools which support design practices where existing structural, procedural and, building on this, technical obstacles are overcome.

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