Big data enables health care organizations to analyze various kinds of data in order to extract valuable health care information and insights. The primary goal of big data is to aid the health industry in making better and more informed health care decisions which is done by enabling data scientists, predictive modelers, and other analytics professionals so as to analyze huge volumes of patient related data, as well as some other forms of data that may be untapped by the conventional health industry intelligence programs.
For this discussion, you are asked to conduct research using the Danforth online library databases (you must use the online library databases) to locate an article on big data in health care organizations.
Discuss three benefits of big data in health care including at least three specific examples as to how big data is being used in health care. Relate it to our course material to date.
Cite your source both in-text and at the end of your post using APA guidelines
Provide at least one course and one non-course, scholarly (peer reviewed) reference.
Please write at least a two-paged double-spaced in five paragraph format paper on the use of predictive analytics in medicine. Is it useful or a waste of time and money? Do we have enough data for building models or validating the models we build? Is the data we have valid and/or reliable? Do we have a means to analyze the data in a useful way?
Use at least three quotes (sources) to support your ideas. One quote should be included in each of your body paragraphs.
Cite your sources both in-text and at the end of your paper following APA format. Include a meaningful title.
The five-paragraph model includes:
- Thesis statement in the intro paragraph
- Topic sentences in each body paragraph
Support your view utilizing our course material as well.
You can refer to the OWL at Purdue University for writing help and refer to the writing rubric included in Blackboard. Write in your own words. Do not copy. Do not use word substitution.