Narrow your topic and turn it into a research question. Your thesis statement aims to answer this question. This can also guide your search for articles.
Once a topic/research question has been selected, search for five research articles from scholarly sources that address your topic. Your articles must be empirically based, meaning they involve a research study. Your articles must also be current, meaning they have been published post-2012.
After reading your articles, write your paper. Your paper must have the following criteria, along with the following headings:
oIntroduction: Clearly state your topic of choice for your research, why you selected it, and a clear thesis statement. Your thesis statement is your position on this topic. You must be able to support your position with research from your articles.
oLiterature Review (Body of Paper): A literature review is a summary of how your research articles supported your thesis statement. Be sure to consider opposing views in your literature review. See the resources below to help you understand the process better.
Write a Literature Review
Learn How to Write a Review of Literature
How to Write a Literature Review
oAnalysis: In this section, you will analyze your findings from the articles and answer these questions: With which points did you agree and/or disagree and why? Which points resonated with you and why? Which points need further clarification and why? All of your statements need to be supported by evidence from the required sources you referenced to create this review.
oSummary of Practical Implications: Describe how this knowledge will support your role in health informatics. Make a list of three to four practical implications and describe each one.
oConclusions: After your review and analyze the literature, describe the ideas you have formulated based on the research. Describe any lingering questions about the topic you would want to know more about and propose areas where further research is warranted.
oDevelop a data dictionary with a minimum of twenty key data elements that will be needed for analysis as part of the topic.
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