The Impact of a Big Data Decision Support Tool on Military Logistics: Medical Analytics Meets the Mission

2017 ◽  
Vol 24 (3) ◽  
pp. 468-487
Author(s):  
Felix Chang ◽  
Christopher Dente ◽  
Eric Elster
Author(s):  
Christos Katrakazas ◽  
Natalia Sobrino ◽  
Ilias Trochidis ◽  
Jose Manuel Vassallo ◽  
Stratos Arampatzis ◽  
...  

2020 ◽  
Vol 195 ◽  
pp. 105749 ◽  
Author(s):  
Abtin Ijadi Maghsoodi ◽  
Dara Riahi ◽  
Enrique Herrera-Viedma ◽  
Edmundas Kazimieras Zavadskas

2005 ◽  
Vol 2005 ◽  
pp. 28-28
Author(s):  
P. K. Thornton ◽  
P. J. Thorne ◽  
C. Quiros ◽  
D. Sheikh ◽  
R. L. Kruska ◽  
...  

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.


2020 ◽  
Vol 21 (6) ◽  
pp. 375-386 ◽  
Author(s):  
Christina L Aquilante ◽  
David P Kao ◽  
Katy E Trinkley ◽  
Chen-Tan Lin ◽  
Kristy R Crooks ◽  
...  

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.


2019 ◽  
Vol 191 ◽  
pp. 131-141
Author(s):  
Miguel A. Gabarron-Galeote ◽  
Jacqueline A. Hannam ◽  
Thomas Mayr ◽  
Patrick J. Jarvis

2014 ◽  
Vol 22 (1) ◽  
pp. 1-20
Author(s):  
Jasenka Rakas ◽  
Michael Seelhorst ◽  
Bona Bernard Niu ◽  
Jeffrey Tom ◽  
Confesor Santiago

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