scholarly journals BEETSOIL: a decision support tool for forecasting the impact of soil conditions on sugar beet harvest

2019 ◽  
Vol 191 ◽  
pp. 131-141
Author(s):  
Miguel A. Gabarron-Galeote ◽  
Jacqueline A. Hannam ◽  
Thomas Mayr ◽  
Patrick J. Jarvis
Keyword(s):  
Decision Support ◽  
Sugar Beet ◽  
Decision Support Tool ◽  
Soil Conditions ◽  
Support Tool ◽  
The Impact

Using a decision support tool to screen for pro-poor policies: Application of Extrapolate to smallholder dairy systems in East Africa

2005 ◽  
Vol 2005 ◽  
pp. 28-28
Author(s):  
P. K. Thornton ◽  
P. J. Thorne ◽  
C. Quiros ◽  
D. Sheikh ◽  
R. L. Kruska ◽  
...  
Keyword(s):  
Decision Support ◽  
Poverty Reduction ◽  
Intervention Mapping ◽  
Decision Support Tool ◽  
Target Groups ◽  
Support Tool ◽  
Policy Alternatives ◽  
Ex Ante ◽  
Policy Measures ◽  
The Impact

Extrapolate (EX-ante Tool for RAnking POLicy AlTErnatives) is a decision support tool to assess the impact of policy measures on different target groups. It is designed to serve as a “filter” that, given the broad characteristics of the population, allows the user to sift through different policy measures to assess ex ante the broad potential impacts of these before deciding to look at particular policy options in more detail. Extrapolate models, in a very simple way, the impact of changes on constraints facing potential beneficiary groups, and how these may affect outcomes and their livelihood status. Extrapolate now makes use of mapping facilities from another decision-support tool, PRIMAS (Poverty Reduction Intervention Mapping in Agricultural Systems), that allows the user to match characteristics of particular technological options and constraints with the spatial characteristics of particular target groups in the landscape.

scholarly journals Clinical implementation of pharmacogenomics via a health system-wide research biobank: the University of Colorado experience

2020 ◽  
Vol 21 (6) ◽  
pp. 375-386 ◽  
Author(s):  
Christina L Aquilante ◽  
David P Kao ◽  
Katy E Trinkley ◽  
Chen-Tan Lin ◽  
Kristy R Crooks ◽  
...  
Keyword(s):  
Decision Support ◽  
Health System ◽  
Clinical Decision Support ◽  
Decision Support Tool ◽  
Clinical Decision ◽  
Clinical Implementation ◽  
Support Tool ◽  
University Of Colorado ◽  
The University ◽  
The Impact

In recent years, the genomics community has witnessed the growth of large research biobanks, which collect DNA samples for research purposes. Depending on how and where the samples are genotyped, biobanks also offer the potential opportunity to return actionable genomic results to the clinical setting. We developed a preemptive clinical pharmacogenomic implementation initiative via a health system-wide research biobank at the University of Colorado. Here, we describe how preemptive return of clinical pharmacogenomic results via a research biobank is feasible, particularly when coupled with strong institutional support to maximize the impact and efficiency of biobank resources, a multidisciplinary implementation team, automated clinical decision support tools, and proactive strategies to engage stakeholders early in the clinical decision support tool development process.

Analysis of Air Traffic Control Command Entries and the Impact on Decision Support Tool Performance

2014 ◽  
Vol 22 (1) ◽  
pp. 1-20
Author(s):  
Jasenka Rakas ◽  
Michael Seelhorst ◽  
Bona Bernard Niu ◽  
Jeffrey Tom ◽  
Confesor Santiago
Keyword(s):  
Decision Support ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Decision Support Tool ◽  
Air Traffic ◽  
Support Tool ◽  
Tool Performance ◽  
Control Command ◽  
The Impact

scholarly journals Decision-Support Tool in Prehospital Care: A Systematic Review of Randomized Trials

2011 ◽  
Vol 26 (5) ◽  
pp. 319-329 ◽  
Author(s):  
Magnus Hagiwara ◽  
Maria Henricson ◽  
Anders Jonsson ◽  
Björn-Ove Suserud
Keyword(s):  
Decision Support ◽  
Prehospital Care ◽  
Grey Literature ◽  
Hospital Setting ◽  
Decision Support Tool ◽  
Home Pages ◽  
Support Tool ◽  
Randomized Controlled ◽  
Cochrane Reviews ◽  
The Impact

AbstractObjective: The objective of this study was to evaluate the effects of the decision support tool (DST) on the assessment of the acutely ill or injured out-of-hospital patient.Methods: This study included systematic reviews of randomized controlled trials (RCT) where the DST was compared to usual care in and out of the hospital setting. The databases scanned include: (1)Cochrane Reviews(up to January 2010); (2)Cochrane Controlled Clinical Trials(1979 to January 2010); (3)Cinahl(1986 to January 2010); and (4)Pubmed/Medline(1926 to January 2010). In addition, information was gathered from related magazines, prehospital home pages, databases for theses, conferences, grey literature and ongoing trials.Results: Use of the DST in prehospital care may have the possibility to decrease “time to definitive care” and improve diagnostic accuracy among prehospital personnel, but more studies are needed.Conclusions: The amount of data in this review is too small to be able to draw any reliable conclusions about the impact of the use of the DST on prehospital care. The research in this review indicates that there are very few RCTs that evaluate the use of the DST in prehospital care.

scholarly journals Assessment of alternative land management practices using hydrological simulation and a decision support tool: Arborea agricultural region, Sardinia

2007 ◽  
Vol 4 (2) ◽  
pp. 747-775 ◽  
Author(s):  
P. Cau ◽  
C. Paniconi
Keyword(s):  
Decision Support ◽  
Land Management ◽  
Management Practices ◽  
Water Movement ◽  
Decision Support Tool ◽  
Chemical Yield ◽  
Treated Wastewater ◽  
Hydrological Simulation ◽  
Support Tool ◽  
The Impact

Abstract. Quantifying the impact of land use on water supply and quality is a primary focus of environmental management. In this work we apply a semidistributed hydrological model (SWAT) to predict the impact of different land management practices on water and agricultural chemical yield for a study site situated in the Arborea region of central Sardinia, Italy. The physical processes associated with water movement, crop growth, and nutrient cycling are directly modeled by SWAT. The model simulations are used to identify indicators that reflect critical processes related to the integrity and sustainability of the ecosystem. Specifically we focus on stream quality and quantity indicators associated with anthropogenic and natural sources of pollution. A multicriteria decision support system is then used to develop the analysis matrix where water quality and quantity indicators for the rivers, lagoons, and soil are combined with socio-economic variables. The DSS is used to assess four options involving alternative watersheds designated for intensive agriculture and dairy farming and the use or not of treated wastewater for irrigation.

Sign in / Sign up

Export Citation Format

Share Document