Reference no: EM132434616

Question 1: Based off the question "What impact does predictive modeling have on creating successful treatment plans for patients with a diagnosis of Alzheimer's disease?

Literature review: State of current industry knowledge

1. Previous research: as currently available in peer-reviewed journals, government reports, accreditation agency research, etc.
2. Identify what specifics have been confirmed or denied by these previous studies, as they relate to your topic for this study
3. Assess what in the current industry (last 3-5 years), including laws and regulations, have changed since these previous studies were completed
4. Evaluate what updates or new components could possibly be addressed (unresolved or remaining questions) by your proposed research study

Assignment details:

• The purpose of the literature review is to position your proposed research in the context of what is already known in the industry about this topic. This review does not need to be exhaustive, however it must be recent (within the last 3-5 years), so you can illustrate how this proposed study will benefit the whole; the facility, the sub-sector of the industry, and the health care system overall. It should provide the theoretical basis for your work, show what has been done in the area by others, and set the stage for your work.
• In this literature review, you should give the reader a sufficient number of connections to existing, legitimate literature so that the reader can have confidence that you have found, read, and assimilated the current literature in the field. It is recommended that you include a paragraph that summarizes each article's contribution to this topic area, along with your interpretation of the relevance to your study.

Unresolved or remaining questions: This is where you present the missing or outdated points in the knowledge that need to be plugged, and by doing so, establish the benefits of your proposed study's results. This is the section of this proposal where you can establish that this study fits in and can potentially provide significance to the industry.