I am a nursing student at Brenau University, and I am currently studying Biochemistry. During my studies, I have had experience classifying the patients based on their medical history, weight, the severity of conditions, and the amount of care they need. For example, patients with chronic illnesses, arthritis, or cancer required constant care, and patients whose diseases could be cured required a more intensive, one-off treatment approach. Moreover, I also had to classify the patients accruing to their intolerance to some medicaments. For example, certain patients have allergies that can interfere with medical treatment and some patients do not. Moreover, micro biochemical testing allows healthcare professionals to identify the health issues and diagnose the patient faster.
My classification of the students at Brenau Univesity considers how late they are for their first class of the day. I categorized them based on their means of transport, whether they walk or run to class, and their engagement with peers while on their way to class. According to Fawcett’s classification model, I watched the students go to their morning studies and write down the details that are important for the classification (150). For example, students who use public transport are less likely to be late because this type of transport has a specific schedule; therefore, students plan their departure from home. Moreover, students who run to class are usually late because their moving speed implies their acknowledgment that they are late. Finally, the more students greet and talk with their peers on their way to class, the more likely they will be late because of the time spent on conversations.
Work Cited
Fawcett, Susan. Evergreen: A Guide to Writing with Readings. 11th ed., Wadsworth Publishing, 2016.