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Quality and patient safety surveillance systems in healthcare settings: a rapid realist review. [PDF]
Ertuğrul B +4 more
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PoPI: A machine learning-based consensus mechanism for blockchain-enabled IoT systems. [PDF]
Dihan MK +5 more
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Feasibility and acceptability of an electronic immunization registry in urban Bangladesh. [PDF]
Haque MJ +7 more
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Repeatability Estimation of Some Productive Traits of Racing Homer Pigeons (Columba livia domestica) in Bangladesh. [PDF]
Tinni SD +4 more
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Selecting an Information System
Nursing Management (Springhouse), 1993Use of new technology can improve productivity without compromising staff nurse time at the bedside. At Borgess Medical Center an interdisciplinary committee co-chaired by nurses analyzed the information system and documentation procedures and developed a plan approved by administration.
S K, Korth, M, Morris
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Decision support for information systems selection
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2005The main objective of this paper is to explore the applicability of a new procedure to the decision process of information systems selection, the major aspect of which is tackling the uncertainty and imprecision of data, while using the risk as a trade-off measure to prioritize alternative systems.
Ludmil Mikhailov, Audrey Masizana
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Selection and Implementation of New Information Systems
Surgical Pathology Clinics, 2015The single most important element to consider when evaluating clinical information systems for a practice is workflow. Workflow can be broadly defined as an orchestrated and repeatable pattern of business activity enabled by the systematic organization of resources into processes that transform materials, provide services, or process information.
Keith J, Kaplan, Luigi K F, Rao
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CaSIE: Canonicalize and Informative Selection of the OpenIE system
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021Knowledge extraction has become a hot topic recently with the increasing number of applications needed for large-scale knowledge bases (KBs), such as semantic search and QA systems. The goal of knowledge extraction is to extract relations and their arguments from natural language text. Recent research proposes two kinds of solutions.
Hao Xin, Xueling Lin, Lei Chen 0002
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