We can work on Analysis of Position Paper for Vulnerable Populations

Develop a 4-page position about a specific health care issue as it relates to a target vulnerable population.
Include an analysis of existing evidence and position papers to help support your position. Your analysis should
also present and respond to one or more opposing viewpoints. You can choice from one of these topics to write
on 1.) Emotion and mental: Post-traumatic stress disorder & depression. 2.) Chronicity: Childhood obesity. 3.)
Addiction: Abuse of alcohol in the elderly population. 4.) Genetics and genomics: Sickle cell in the African
American community. Choose what ever topic that is easiesy for you and scholarly or professional evidence
that express contrary views or opinions. Resources should be no more than five years old.
Scenario
Pretend you are a member of an interprofessional team that is attempting to improve the quality of health care
and the outcomes in a vulnerable population. For the first step in your team’s work, you have decided to
conduct an analysis of current position papers that address the issue and population you are considering.

In your analysis you will note the team’s initial views on the issue in the population as well as the views across
a variety of relevant position papers. You have been tasked with finding the most current standard of care or
evidenced-based practice and evaluating both the pros and cons of the issue. For the opposing viewpoints, it is
important to discuss how the team could respond to encourage support. This paper will be presented to a
committee of relevant stakeholders from your care setting and the community. If it receives enough support,
you will be asked to create a new policy that could be enacted to improve the outcomes related to your chosen
issue and target population.
Instructions
For this assessment you will develop a position summary and an analysis of relevant position papers on a
health care issue in a chosen population. The bullet points below correspond to the grading criteria in the
scoring guide. Be sure that your submission addresses all of them. You may also want to read the Analysis of
Position Papers for Vulnerable Populations Scoring Guide and Guiding Questions: Analysis of Position Papers
for Vulnerable Populations to better understand how each grading criterion will be assessed.
Explain a position with regard to health outcomes for a specific issue in a target population.
Explain the role of the interprofessional team in facilitating improvements for a specific issue in a target
population.
Evaluate the evidence and positions of others that could support a team’s approach to improving the quality
and outcomes of care for a specific issue in a target population.
Evaluate the evidence and positions of others that are contrary to a team’s approach to improving the quality
and outcomes of care for a specific issue in a target population.
Communicate an initial viewpoint regarding a specific issue in a target population and a synthesis of existing
positions in a logically structured and concise manner

Sample Solution

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improvement in security enough relative to the loss of the individual’s privacy? There is not one specific answer to this question. There are and there always will be propone­­­nts and opponents for the use of facial recognition systems. The proponents state that the systems gain enough security relative to the loss of privacy. It can help to prevent crime and detect criminals, thus people feel safer. But the opponents state that there will be too much loss of privacy, the technology can make errors and can be misused. This makes people fearful. There should be made strict guidelines concerning privacy when using facial recognition to prevent everyday crime. Furthermore, the technologies should be checked very well, so that there are no chances on false positives. 5. Conclusion Facial recognition systems can be used in various ways to prevent crimes. One of these ways is using FaceIt. FaceIt is a face recognition system that can search through a crowd for a face and match this face with the mugshot history of this specific person. It is considered to be the most accurate facial recognition software as of today. Other results are: matching faces from live security images, face recognition in photographs and face recognition from sketches. These are all methods in which a face (of e.g. a possible criminal) is compared to a face in respectively live security images, photographs and sketches, to see if there is a match. The facial recognition system is far from perfect. There are s>

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