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A. Access and manipulate supplied data in order to generate reports and make recommendations;
B. Consider the relationship between data, information, knowledge and wisdom and how these elements inform
practice, management, and policy in the context of international trends;
C. Examine the relationship between datasets and information literacy;
D. Explain the data elements in contemporary health data terminologies;
E. Create a variety of ways in which complex issues can be effectively communicated for a variety of target
audiences.
With reference to Australian and overseas literature, briefly:
1. Define these AR-DRGs, including the diagnoses usually associated with them
Describe the current prevalence & incidence of antenatal admissions to acute hospitals, and any
relevant trends
2.
Describe approaches used to prevent hospitalisation and decrease length of stay for asthma &
bronchitis
3.
B: Analysis
Analyse the UTS Hospital dataset as follows:
Create a profile of patients in AR-DRGs E69a, E69b & E69c
1.1 include both individual and episode characteristics (e.g. age [an individual characteristic]
and length of stay [an episode characteristic], and others you identify in the literature)
1.2 include the proportion of the dataset that these patients comprise
1.3 compare this to a profile of all patients in this dataset
1.
For patients in AR-DRGs E69a, E69b & E69c:
2.1 identify the most common principal and secondary diagnoses
2.
23/02/2016 (Autumn 2016) University of Technology Sydney Page 8 of 11
2.2 identify the most common principal and secondary procedures
2.3 compare the length of stay for patients in AR-DRGs E69a, E69b & E69c to patients in
related AR-DRGs, and/or the same MDCs
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