Descriptive And Predictive Analytics Tools - 1694 Words

In this literature, we discussed a good number of the tools and studies that utilize EHR data in order to improve the quality of care particularly for patients suffering from kidney related diseases. The chapter 4 of this study includes the descriptive and predictive analytics tools that uses data mining methods to predict the presence of kidney disease and analyze the relationships among different risk factors (described in chapter 2). Then, the next chapter provides an overview of the EHR-based interactive visualization tools that have been developed to explore patterns and gain insights into the clinical records. The visualization tools also help the clinicians to make decisions regarding the risks and benefits of treatments and medications. Finally, chapter 6 provides a comprehensive survey of the clinical e-alert tools that have been developed to identify, monitor, and notify the episodes of kidney injury among the hospitalized patients. In this chapter, we provide a comparative analysis of all the tools and studies mentioned in the last three chapters. The overall goal of all of these tools is to improve the quality of care by using the resources in EHR. However, different types of tools described in this study have achieved it in different ways (e.g., data mining or information visualization). In the next three section, we discuss the strengths and weaknesses of these three types of tools based on the activity framework, cognitive load distribution, and type of theShow MoreRelatedChapter 17 : A Theme Park1337 Words   |  6 PagesChapter 17 is essentially all about â€Å"Business Analytics†, and what it comprises of are, are six specific segments. This chapter opens up with a brief story about a theme park, named WaldoLands. The theme park uses the characters from the Waldowood stories as their mainstay theme as well as overall design. 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