This subject provides a supervised experience for graduate students to learn about making health service decisions using data. Students learn how to explore and manipulate data that are assembled to...

This subject provides a supervised experience for graduate students to learn about making health service decisions
using data. Students learn how to explore and manipulate data that are assembled to replicate real patient data to both
generate and answer questions. The focus may be managerial or clinical, or an integration of these. Students analyse
the assembled patient dataset to generate and interpret health statistics, and translate them into health information and
knowledge for decision-making. Students completing this subject develop the ability to explore health data and provide
recommendations based on the findings.
Subject learning objectives (SLOs)
Upon successful completion of this subject students should be able to:
A. Access and manipulate supplied data in order to generate reports and make recommendations;
B. Identify and compare 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 and discuss 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.