Sentence examples for improving resource allocation from inspiring English sources

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BACKGROUND Health services research aimed at understanding service use and improving resource allocation often relies on collecting subjectively reported or proxy-reported healthcare service utilization (HSU) data.

The coefficient of homogeneity of costs and the coefficient of determination R 2 from 2004 to 2011 confirm a developing G-DRG cost accounting system with improving resource allocation and cost assessment, with a low unexplained cost spread within DRGs. Figure 5 The Coefficient of Homogeneity over time (based on each year's G-DRG system), Source[6, 22, 25 30].

Analysts viewed that the process of consolidation is a cause of better pricing and cheaper cost for funds etc. M&A is the process that creates the value, improve the efficiency, and increase the market power by improving resource allocation of the merged companies (Altunbas and Marques [2008]).

This recent article on mindfulness states that regular presence of mind "positively impact(s) attentional functions by improving resource allocation processes" -- allowing our brains to react earlier and more effectively to challenges.

Stringent screening policies can improve graduation results, by improving resource allocation and accountability.

18 23 In the select healthcare cases where it has been applied, TDABC has been successful at identifying and reducing unused capacity and improving resource allocation for optimal efficiency.

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I am interested in using mathematical models and methods of dynamic optimization to improve resource allocation.

Rehypothecation improves resource allocation because it permits liquidity to flow where it is most needed.

In emergency coordination centers, the availability of a scientifically validated instrument would improve resource allocation.

Even though PPPs have the potential to increase efficiency and improve resource allocation, contract renegotiations have been pervasive.

In this paper, we propose to improve resource allocation through tracing and prediction of workload dynamics of component services as requests traverse and pipeline through the workflow.

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