Decisions in Health Care In this paper the role of technology in decision making is presented and systems and informatics theories are discussed followed by the DIK Model, and the role of expert system in nursing care and medicine. Furthermore, the use of decision aids and decision support systems are presented in correlation with the uses of technology for patient and client management, and the paper is concluded with an analysis of the effect of technology on health care and health status. Medical
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Decision-Making Paper More than ever before, information technology is helping clinicians and health care systems improve the collection and management of data along with the ability to aid in decision–making for clinical and business issues. Information technology has led to significant improvements in quality of care, patient safety, and communication between clinicians. The key to information technology and decision-making is to develop relationships between information technology and the users to make effective
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Technology, decision-making processes, and data accessibility have changed dramatically in recent years. This paper will discuss systems and informatics theories. The paper will confer on the Data, Information, and Knowledge (DIK) Model. The role of expert system in nursing care and medicine will be provided. Decision aids and decision support systems are used everyday providing focus, leadership and direction within technology and will be examined. The use of technology for patient and client management
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Data Indexing for Heterogeneous Multiple Broadcast Channel Andrew Y. Ho and Dik Lun Lee Department of Computer Science The Hong Kong University of Science and Technology Clear Water Bay, Hong Kong Email: andrewho@cs.ust.hk, dlee@cs.ust.hk Abstract vision in the computing industry – from traditional wired This paper studies a heterogeneous multiple channel and stationary desktops to a fast growing area of mobile environment (HMCE), in which the channels are computing
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Management Sciences (JETEMS) 2 (2): 131-141 © Scholarlink Research Institute Journals, 2011 (ISSN: 2141-7024) jetems.scholarlinkresearch.org Journal of Emerging Trends in Economics and Management Sciences (JETEMS) 2(2):131-141(ISSN:2141-7024) Information Distortion in Supply Chain: A Simulation Approach to Quantifying the Bullwhip Effect 1 1 Oyatoye, E.O and 2Fabson, T.V.O Department of Business Administration University of Lagos, Akoka-Yaba, Lagos, Nigeria 2 Telsy Value Consult, Onike Road
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Analysis PulteGroup, Inc. – South Florida Division By: Scott Mairn and Irina Prell November 30, 2012 Table of Contents I. Executive Summary II. Company Overview III. Research Objectives/Approach IV. Sampling Description V. Data Analysis and Interpretation VI. Implications VII. Conclusion and Future Direction Executive Summary This report will take a look the results from the Servqual survey research conducted for the PulteGroup, Inc. South Florida Division to analyze
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secondary. The purpose of this study was to examine factors influencing career choice among form four secondary school students in Kisumu municipality, Kenya. The study was conducted using descriptive survey design with a population of 332 students. The data for this study was collected using questionnaire and interview schedules. The findings of this study indicate that availability of advancement opportunities and learning experiences are the most influential factors affecting career choices among students
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up of three major flows – physical, financial and information. e-commerce has the capacity to affect all three. . Physical flows can be affected by using information to avoid physical movements and to make product information available throughvirtual ways. In essence, e-commerce can give companies access to more markets and customers without the physical need to move the levels of product and inventory that were required in the past. Information flows can be affected by the capacity of e-commerce
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being as efficient and effective as possible. These constraints together formed the barriers, which has a negative effect on the meaning of work. These findings were then discussed and concluded. Implications of the findings (e.g. limited amount of data) for both theory and practice are discussed. The area around Human Resource Management (HRM) is rapidly changing. There are changes from the perspective of the people and from the perspective of the organization. This has led to several changes
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A Scalable Method for Multiagent Constraint Optimization Adrian Petcu and Boi Faltings {adrian.petcu, boi.faltings}@epfl.ch http://liawww.epfl.ch/ Artificial Intelligence Laboratory Ecole Polytechnique F´ d´ rale de Lausanne (EPFL) e e IN (Ecublens), CH-1015 Lausanne, Switzerland Abstract We present in this paper a new, complete method for distributed constraint optimization, based on dynamic programming. It is a utility propagation method, inspired by the sum-product algorithm, which is correct only
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