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Discuss the role of visual analytics when working with healthcare data. Give an example of how...

Discuss the role of visual analytics when working with healthcare data. Give an example of how visual analytics can be applied to improve the utility of data in health care.

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Ans)Visual analytics is an outgrowth of the fields of information visualization and scientific visualization that focuses on analytical reasoning facilitated by interactive visual interfaces.

- Visual analytics tools and techniques create an interactive view of data that reveals the patterns within it, enabling everyone to become researchers and analysts. It brings together computer science, information visualization, cognitive and perceptual sciences, interactive design, graphic design, and social sciences.

- Visual analytics enable the human-information, communication by putting together new computational and theory-based tools with innovative interactive techniques and visual representations.

- The design of the visual analytics tools and techniques is based on cognitive, design, and perceptual principles.

- Visual analytics mainly focuses on analytical reasoning techniques that enable users to get deeper insights that directly support assessment, planning, and decision making.

- Furthermore, it focuses on the techniques to support production, presentation, and dissemination of the results of an analysis to communicate information in the appropriate context to a variety of audiences.

- It also gets close to the data representations and transformations that convert all types of conflicting and dynamic data in ways that support visualization and analysis and well as visual representations and interaction techniques that take advantage of the human eye’s broad bandwidth pathway into the mind to allow users to see, explore, and understand large amounts of organization’s data and information at a time.

Key benefits of visual analytics for business:

  • Visual analytics software improves the data exploration, minimizes the overall cost and improves the data analysis.
  • Visual analytics (VA) make easier the bulk of complex information for better decisions.
  • VA enables enterprises to understand data much more quickly and to make faster, better decisions.
  • With sharp improvements in computing and data storage, it helps to businesses to solve relevant issues.
  • Having the capabilities of solving large and complex issues it offers more accurate results for more profitable decisions for business.
  • It offers the different trends of visualization, so the understandable data presentation modes are guaranteed.
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