Short Answer
Weight: 40%
Type of Collaboration:
Individual
Due: Week 7 Monday 15th April 2024 at 11:59pm (2359 hours)
Submission: Refer to instructions below
Format: Short Answer
Length: 1,000 words
Use of Artificial Intelligence:
In this assessment task, you will not be able to meet the learning outcomes related
to analysing the causes, pathogenesis, clinical manifestations and appropriate selection
and prioritisation of nursing interventions by using generative artificial intelligence (AI)
tools. Working with another person or technology in order to gain an unfair advantage in
assessment or improperly obtaining answers from a third party including generative AI to
questions in an examination or other form of assessment may lead to sanctions under the
Student Misconduct Rule. Use of generative AI tools may be detected. More information
is available on the Library Webpage.
Student Misconduct Rule: https://www.westernsydney.edu.au/currentstudents/current_
students/student_misconduct_rule
Information is available on the Library web page: https://westernsydney.edu.au/
studysmart/home/study_with_integrity/turnitin_ai_detector
Instructions:
Word Count
There is a word limit of 1000 words. Use your computer to total the number of words used in your assignment.
However, do not include the reference list at the end of your assignment in the word count. In-text citations will be
included in the additional 10%-word count. If you exceed the word count by 10% the marker will stop marking at
1100 words.
Aim of assessment
The aim of this assessment is to enable students to:
1. Demonstrate knowledge by analysing the information provided in the case study.
2. Apply the clinical information provided in the case study and describe this clinical information within a pathophysiological and patient focused framework.
3. Discuss nursing strategies and evidence-based rationales to manage a patient with Diabetic Ketoacidosis (DKA) Please see attached for all the information you need
