Application of decision support systems in scheduling/planning of manufacturing/service systems: a critical review

2016 ◽  
Vol 15 (3/4) ◽  
pp. 248 ◽  
Author(s):  
Ehsan Ardjmand ◽  
Iman Ghalehkhondabi ◽  
Gary R. Weckman ◽  
William A. Young <suffix>II</suffix>
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Critical Review ◽  
Support Systems ◽  
Service Systems

scholarly journals Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis (Preprint)

2017 ◽  
Author(s):  
Saif Khairat ◽  
David Marc ◽  
William Crosby ◽  
Ali Al Sanousi
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Critical Review ◽  
Task Analysis ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
User Acceptance ◽  
Care Providers

BACKGROUND Clinical decision support systems (CDSSs) are an integral component of today’s health information technologies. They assist with interpretation, diagnosis, and treatment. A CDSS can be embedded throughout the patient safety continuum providing reminders, recommendations, and alerts to health care providers. Although CDSSs have been shown to reduce medical errors and improve patient outcomes, they have fallen short of their full potential. User acceptance has been identified as one of the potential reasons for this shortfall. OBJECTIVE The purpose of this paper was to conduct a critical review and task analysis of CDSS research and to develop a new framework for CDSS design in order to achieve user acceptance. METHODS A critical review of CDSS papers was conducted with a focus on user acceptance. To gain a greater understanding of the problems associated with CDSS acceptance, we conducted a task analysis to identify and describe the goals, user input, system output, knowledge requirements, and constraints from two different perspectives: the machine (ie, the CDSS engine) and the user (ie, the physician). RESULTS Favorability of CDSSs was based on user acceptance of clinical guidelines, reminders, alerts, and diagnostic suggestions. We propose two models: (1) the user acceptance and system adaptation design model, which includes optimizing CDSS design based on user needs/expectations, and (2) the input-process-output-engagemodel, which reveals to users the processes that govern CDSS outputs. CONCLUSIONS This research demonstrates that the incorporation of the proposed models will improve user acceptance to support the beneficial effects of CDSSs adoption. Ultimately, if a user does not accept technology, this not only poses a threat to the use of the technology but can also pose a threat to the health and well-being of patients.

Emerging investigators series: a critical review of decision support systems for water treatment: making the case for incorporating climate change and climate extremes

2017 ◽  
Vol 3 (1) ◽  
pp. 18-36 ◽  
Author(s):  
William J. Raseman ◽  
Joseph R. Kasprzyk ◽  
Fernando L. Rosario-Ortiz ◽  
Jenna R. Stewart ◽  
Ben Livneh
Keyword(s):  
Climate Change ◽  
Drinking Water ◽  
Decision Support ◽  
Water Treatment ◽  
Decision Support Systems ◽  
Critical Review ◽  
Support Systems ◽  
Drinking Water Treatment ◽  
Climate Extremes

We present potential impacts of climate on drinking water treatment and review decision support systems for these utilities.

scholarly journals A critical review of decision support systems for brownfield redevelopment

2021 ◽  
pp. 147132
Author(s):  
Ellis B. Hammond ◽  
Frederic Coulon ◽  
Stephen H. Hallett ◽  
Russell Thomas ◽  
Drew Hardy ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Critical Review ◽  
Support Systems ◽  
Brownfield Redevelopment

Assigning Value to Clinical Information – A Major Limiting Factor in the Implementation of Decision-Support Systems

1996 ◽  
Vol 35 (01) ◽  
pp. 1-4 ◽  
Author(s):  
F. T. de Dombal
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Clinical Information ◽  
Limiting Factor ◽  
Major Difficulty ◽  
Computer Aided ◽  
Computer Aided Decision

AbstractThis paper deals with a major difficulty and potential limiting factor in present-day decision support - that of assigning precise value to an item (or group of items) of clinical information. Historical determinist descriptive thinking has been challenged by current concepts of uncertainty and probability, but neither view is adequate. Four equations are proposed outlining factors which affect the value of clinical information, which explain some previously puzzling observations concerning decision support. It is suggested that without accommodation of these concepts, computer-aided decision support cannot progress further, but if they can be accommodated in future programs, the implications may be profound.

Architectures for Architects

1993 ◽  
Vol 32 (01) ◽  
pp. 12-13 ◽  
Author(s):  
M. A. Musen
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Design And Development

Abstract:Response to Heathfield HA, Wyatt J. Philosophies for the design and development of clinical decision-support systems. Meth Inform Med 1993; 32: 1-8.

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