Information systems for a blood transfusion regional network

2021 ◽  
Author(s):  
Miguel A. Vesga ◽  
María Azkárate
2003 ◽  
Vol 1819 (1) ◽  
pp. 104-108 ◽  
Author(s):  
Robert A. Douglas

Industrial forestry activities in New Zealand are now in a phase of unprecedented growth: the annual cut will double from 18 million m3 to well over 30 million m3 a year during the next 5 years. Given that most of the wood is taken from forest to mill or port by road in New Zealand, including a portion of the trip on public highways, the impacts of the doubling in logging truck traffic will be significant and severe. New Zealand’s roads have, for the most part, thin-sealed, unbound pavements. New Zealand’s second-largest industrial sector is tourism. Pavements and tourists will feel the impact of the looming increase in logging truck traffic unless steps are taken to anticipate the changes in traffic volumes and patterns. There is the complicating factor that the dairy industry too is now expanding rapidly with associated increases in raw milk tanker traffic. There is some friction between the forest industry and the dairy industry over which will be responsible for the increased strengthening, rehabilitation, and maintenance of roads. Research is under way to use regional network analysis and geographic information systems to predict the increases in heavy-truck traffic and changes in its distribution on public roads. This is the first step toward devising measures to mitigate the impacts and is a precursor to the implementation of pavement management. A unique opportunity exists in southern New Zealand: cooperation between forest operators and government agencies in the Otago and Southland region of the South Island of New Zealand on large-scale projects, providing the environment needed to examine such large, landscape-scale problems.


Anaesthesia ◽  
2000 ◽  
Vol 55 (9) ◽  
pp. 928-929 ◽  
Author(s):  
J. R. Davies
Keyword(s):  

2008 ◽  
Vol 1 (9) ◽  
pp. 10-11
Author(s):  
MITCHEL L. ZOLER

1984 ◽  
Vol 1 (1) ◽  
pp. 175-185
Author(s):  
Michael E. D. Koenig

2020 ◽  
Vol 64 (1) ◽  
pp. 6-16 ◽  
Author(s):  
Sarah M. Meeßen ◽  
Meinald T. Thielsch ◽  
Guido Hertel

Abstract. Digitalization, enhanced storage capacities, and the Internet of Things increase the volume of data in modern organizations. To process and make use of these data and to avoid information overload, management information systems (MIS) are introduced that collect, process, and analyze relevant data. However, a precondition for the application of MIS is that users trust them. Extending accounts of trust in automation and trust in technology, we introduce a new model of trust in MIS that addresses the conceptual ambiguities of existing conceptualizations of trust and integrates initial empirical work in this field. In doing so, we differentiate between perceived trustworthiness of an MIS, experienced trust in an MIS, intentions to use an MIS, and actual use of an MIS. Moreover, we consider users’ perceived risks and contextual factors (e. g., autonomy at work) as moderators. The introduced model offers guidelines for future research and initial suggestions to foster trust-based MIS use.


1993 ◽  
Vol 38 (10) ◽  
pp. 1094-1095
Author(s):  
Scott P. Robertson
Keyword(s):  

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