scholarly journals Impact of a computerized decision support system on compliance with guidelines on antibiotics prescribed for urinary tract infections in emergency departments: a multicentre prospective before-and-after controlled interventional study

2014 ◽  
Vol 69 (10) ◽  
pp. 2857-2863 ◽  
Author(s):  
Elisa Demonchy ◽  
Jean-Charles Dufour ◽  
Jean Gaudart ◽  
Emmanuel Cervetti ◽  
Pierre Michelet ◽  
...  
Keyword(s):  
Decision Support ◽  
Urinary Tract ◽  
Decision Support System ◽  
Urinary Tract Infections ◽  
Support System ◽  
Emergency Departments ◽  
Interventional Study ◽  
Computerized Decision Support ◽  
Before And After ◽  
Tract Infections

scholarly journals Penerapan Metode Rank Order Centroid dan Additive Ratio Assessment Pada Aplikasi Rekomendasi Supplier

2021 ◽  
Vol 5 (1) ◽  
pp. 31-40
Author(s):  
Ronny Addenan ◽  
◽  
Wilda Susanti ◽  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
Rank Order ◽  
Spare Parts ◽  
Computerized Decision Support ◽  
K Value ◽  
Long Time ◽  
The Right

PT.Yanmarindo Perkasa is a company in the sale of diesel engines, generators, tooling tools and engine spare parts. Many suppliers want to distribute their goods through PT.Yanmarindo Perkasa, thus demanding the company to choose the right supplier, in order to ensure the smooth fulfillment of stock items. The process of selecting suppliers is still done manually with criteria limited to quantitative criteria, so that the process takes a long time and the results are not precise. The purpose of this study is to build a decision support system for supplier recommendations quickly and precisely in meeting the company's needs. The supplier selection process uses the Rank-Order Centroid (ROC) method in weighting the criteria and the Additive Ratio Assessment (ARAS) for ranking. ARAS value obtained is the K value that is ranked to get the best supplier by using a computerized decision support system. The application of these two methods can speed up the results of decisions, does not take a long time and the results obtained are also maximum.

Prediction Reliability of Container Terminal Simulation Models

2010 ◽  
pp. 315-335
Author(s):  
Armando Cartenì
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Optimization Problem ◽  
Container Terminal ◽  
Simulation Models ◽  
Large Set ◽  
Model Application ◽  
Before And After ◽  
Prediction Reliability

In this chapter attention is focused on the container terminal optimization problem, given that today most international cargo is transported through seaports and on containerized vessels. In this context, in order to manage a container terminal it is sometimes necessary to develop a Decision Support System (DSS). This chapter investigated the prediction reliability of container terminal simulation models (DSS), through a before and after analysis, taking advantage of some significant investment made by the Salerno Container Terminal (Italy) between 2003 and 2008. In particular, disaggregate and an aggregate simulation models implemented in 2003 were validated with a large set of data acquired in 2008 after some structural and functional terminal modifications. Through this analysis it was possible to study both the mathematical details required for model application and the field of application (prediction reliability) of the different simulation approaches implemented.

A computerized decision support system (CDSS) for antibiotic prescription in primary care—Antibioclic: implementation, adoption and sustainable use in the era of extended antimicrobial resistance

2020 ◽  
Author(s):  
Tristan Delory ◽  
Pauline Jeanmougin ◽  
Sylvie Lariven ◽  
Jean-Pierre Aubert ◽  
Nathan Peiffer-Smadja ◽  
...  
Keyword(s):  
Primary Care ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Antibiotic Prescription ◽  
Sustainable Use ◽  
Acute Otitis Media ◽  
Community Acquired Pneumonia ◽  
Computerized Decision Support ◽  
Cross Sectional

Abstract Objectives To describe the implementation and use of a computerized decision support system (CDSS) for antibiotic prescription in primary care in France (Antibioclic). The CDSS targets 37 infectious diseases and has been freely available on a website since 2011. Methods Description and implementation of the architecture of a CDSS for antibiotic prescription in general practice. Analysis of the queries made between 2012 and 2018 on the CDSS by GPs. Analysis of two cross-sectional studies of users in 2014 and 2019. Results The number of queries increased from a median of 796/day [IQR, 578–989] in 2012 to 11 125/day [5592–12 505] in 2018. Unique users increased from 414/day [245–494] in 2012 to 5365/day [2891–5769] in 2018. Time taken to make a query was 2 min [1.9–2.1]. Among 3 542 347 queries in 2018, 78% were for adults. Six situations accounted for ≥50% of queries: cystitis; acute otitis media; acute sinusitis; community-acquired pneumonia; sore throat; and pyelonephritis. Queries concerned pathologies for which antibiotic prescription was necessary (64%), was conditional on additional clinical steps (34%) or was not recommended (2%). Most users (81%) were GPs, with median age of 38 years [31–52] and 58% were female. Among the 4016 GPs who responded to the surveys, the vast majority (96%) reported using the CDSS during the consultation, with 24% systematically using Antibioclic to initiate an antibiotic course and 93% having followed the CDSS recommendation for the latest prescription. Most GPs were comfortable using the CDSS in front of a patient. Conclusions Antibioclic has been adopted and is widely used in primary care in France. Its interoperability could allow its adaptation and implementation in other countries.

Organizational Considerations in the Design and Implementation of Computerized Decision Support Systems

1982 ◽  
Vol 26 (8) ◽  
pp. 733-734
Author(s):  
Dan Zakay
Keyword(s):  
Organizational Change ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Basic Requirement ◽  
Computerized Decision Support ◽  
Process Of Change ◽  
Design And Implementation ◽  
Computerized Decision Support Systems

The implementation of a Decision Support System into an organization triggers a process of organizational change. This process of change is analyzed, and it is concluded that coping with it successfully is a basic requirement for the acceptability of the system by the organization. Guidelines are suggested for dealing with this process of organizational change.

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