Question Description

I’m studying and need help with a Engineering question to help me learn.

There are several benefits as well as challenges associated with the use of Big Data Analytics in the e-Healthcare industry.

Q1) Pick one of the four concepts below and then identify the benefits and challenges associated with that concept.

Q2) Do not simply list the benefits and challenges but detail them in a substantive, thorough post as it relates to that concept in the e-healthcare industry.

1.Data Gathering

2.Storage and Integration

3.Data Analysis

4.Knowledge Discovery and Information Interpretation

Please make your initial post and two response posts substantive. A substantive post will do at least two of the following:

  • Ask an interesting, thoughtful question pertaining to the topic
  • Answer a question (in detail) posted by another student or the instructor
  • Provide extensive additional information on the topic
  • Explain, define, or analyze the topic in detail
  • Share an applicable personal experience
  • Provide an outside source (for example, an article from the google scholarly article) that applies to the topic, along with additional information about the topic or the source (please cite properly in APA)
  • Make an argument concerning the topic.
  • At least one scholarly source should be used in the initial discussion thread. Be sure to use information from your readings and other sources from the google scholarly article. Use proper citations and references in your post.

REQUIREMENTS

  • APA Format 7th edition
  • Total word count -1500words
  • NO PLAGIARISM
  • Reference articles

ARTICLE – 1

  • AYANI, S., MOULAEI, K., DARWISH KHANEHSARI, S., JAHANBAKHSH, M., & SADEGHI, F. (2019). A Systematic Review of Big Data Potential to Make Synergies between Sciences for Achieving Sustainable Health: Challenges and Solutions. Applied Medical Informatics, 41(2), 53–64.

ARTICLE – 2

  • Dash, S., Shakyawar, S.K., Sharma, M., Kaushik, S. (2019). Big data in healthcare: management, analysis, and future prospects.Journal of Big Data 6, 54,http://doi.org/10.1186/s40537-019-0217-0 (Attached document – s40537-019-0217-0.pdf)

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