Category: Data Management
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The Choice of a Medical Data Management System
The healthcare information system plays one of the most important roles. This concept implies a system for managing medical data. This implies the storage, management and use of medical information using the patients electronic medical record. Moreover, the information system in healthcare helps to conduct data operations more efficiently and promptly, supporting critical strategic decisions…
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Electronic Health Record Database and Data Management
Table of Contents Patient Problem EHR Data Data Relationships (150) Conclusion References Progress in modern medicine has resulted in the amount of information related to the health of patients to grow exponentially. This capacity of data has grown beyond the capabilities of manual input of individual physicians. As a result, health information technology was designed…
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Health Data Management: Sharing and Saving Patient Data
Consider the idealized cycle of health information in evidence-based medicine where database systems offer information sharing service for doctors, medical researchers, medical institutions, and patients. In this scenario, doctors and researchers can easily query and analyze medical information with much greater speed, security, and ease. What would facilitate achieving this idealized environment, and assess the…
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EHR Database Management: Diabetes Prevention
Introduction According to Baus, Wood, Pollard, Summerfield, and White (2013), diabetes mellitus is the seventh leading cause of death in the United States and is a major contributor to decreased life expectancy, increased rates of heart disease, stroke, kidney failure, lower-limb amputations, retinopathy, and adult-onset blindness (p. 1f). Moreno-Iribas et al. (2017) also observe that…
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Data Management in a Medium-Sized Business
Table of Contents Introduction Data flow in the business Personally Identifiable Information (PII) Security Reference Introduction This paper will use a medium-sized business offering highly specialized, high-quality business development education services as an example. Table 1 illustrates how the mixed data can be managed in the company. Keys here are customers full names, customers identification…
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Big Data Fraud Management
Introduction The growth of eCommerce systems has led to an increase in online transactions using credit cards and other methods of payment services. These transactions mainly require that a user provide their personally identifiable information, which significantly increases risks associated with credit card frauds and identity theft. The article by Chen et al. (2015) introduced…
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Big Data Opportunities in Green Supply Chain Management
Introduction & Problem Motivation According to academic research in the field of supply chain management (SCM), the industry is quickly changing because of the advent of digital instruments that are utilized to speed up supply chain processes and reduce the involvement of human workers. According to Hartley and Sawaya (2019), artificial intelligence (AI) is one…
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Data Assets Management of LuLu Hypermarkets System
Table of Contents Executive Summary Introduction Data Assets Identification Data Architecture Evaluation and Recommendations Data Security Evaluation and Recommendations Conclusion References Executive Summary The report provides an analysis of the data assets management of LuLu hypermarkets system. The main advantages and disadvantages of the system are identified. Despite the fact that the implemented scheme provides…
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Data Analytics and Its Application to Management
The role of the collection of data and its subsequent analysis in the industry is as big as ever. Specifically, it pertains to the managerial field where the quality and nature of a decision can greatly alter the companys vector of growth and development. The usage of big data helps managers to make better…
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Big Data Usage in Supply Chain Management
Abstract This paper gives a summary of the research that was conducted to understand the unique issues surrounding the use of big data in the supply chain. The discussion identifies the major opportunities associated with the continued use of big data. The emerging obstacles affecting the use of big data are also outlined. The best…