Diversity of the nursing profession.
In 100 words or less, please explain how you would contribute to the diversity of the nursing profession.
Fun Facts for the essay:
1. I had open heart surgery in 2002 at MUSC due to a heart murmur
2. I'm applying to MUSC Accelerated BSN Program
3. I worked at MUSC Children's Hospital as a Patient Care Technician (PCT) (June 2017-December 2018)
4. The passionate care and support from my Open Heart Surgery motivated me to passionately take care of others and I was determined to show my appreciation.
5. Community Enhancement: Marathon Heart Run 10/1/2012 ( American Heart Association)
Questionnaire:
Please describe how COVID-19 has impacted your pathway to nursing school.
Prompts that may help you get started but shouldn't limit your responses are below:
Academic: Were you able to interact with your professors? Did you have to leave an academic program stateside or abroad? Did your school require you to move to Pass/Fail systems? Did your standardized tests or entrance exam get cancelled, delayed? Other academic barriers? (100-250 words)
Professional: Did you hold a job? Did have to go out and seek new job opportunities? Did you lose a job? Other financial or professional barriers that you faced? (100-250 words)
Personal: Did you have to move out of a house or dorm? Did you have to cancel travel plans? Did you modify your planned experiences related to healthcare or volunteer opportunities? Did you seek out volunteer opportunities that arose from the crisis? Did help family members that were affected? (100-250 words)
Sample Solution
Diversity of the nursing profession All nurses operate under a strict code of ethics that includes a promise to provide the best care for all of their patients and the communities they serve. To accomplish this goal, nurses need to understand the true importance of diversity in the nursing profession. Diversity in the nursing field is essential because it provides opportunities to administer quality care to patients. Diversity in nursing include gender, veteran, status, race, disability, age, religion, ethnic heritage, and physical characteristics. As a nurse, I can contribute to diversity by following a cultural competence model to identify the patients` cultural health care beliefs, gain knowledge and skills about caring for different cultural groups, and engage with diverse patients to practice their skills on an ongoing basis. When the nursing workforce reflects its patient demographic, communication improves thus making the patient more comfortable.
This experiment does aid the debate by aiming to show that artificial intelligence is false and that the Turing Test is not adequate. It also appeals to our intuition. The person in the room imitates the syntax (the grammar, such as sentence structures) of a native speaker, but lacks semantic understanding – failing to understanding the actual meaning of Chinese (Study Guide:115). They also lack intentionality – failing to think about Chinese in virtue of the task. Similarly, the computer relies on syntax, and cannot interpret the language solely based on semantics as native speakers do. This symbol manipulation cannot equate to intentionality and understanding. Therefore, the Turing Test does not show true thinking, and only demonstrates a mimicked behaviour.
Furthermore, as Descartes and Searle suggests, true understanding requires more than symbol manipulation. For example, internet memes have recently gained popularity in everyday life. A meme is usually a phrase that communicates social and cultural ideas. ‘Damn Daniel’ was a phrase that relayed solidarity and positivity when commenting on a person’s outfit. It also contained humour and was considered an inside joke. This social semantic reaches beyond dictionary definitions. Based on pure symbol manipulation, a machine cannot process the humour and implied social semantics attached to the phrase and create a meaningful response to it. Hence artificial intelligence cannot truly think.
Turing’s test focuses on imitation, but Descartes’ rules are more rigorous. Aided by Searle, the argument for semantic understanding overrules Turing’s views that machines can think.