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DTSC71-104: Health Analytics and Data Management

Description

This subject will develop health analytics skills, enabling students to prepare, analyse, interpret and present clinical and operational data for the purpose of assessing and improving efficiency and quality in the healthcare sector. Understanding, analysing, and interpreting business data, both operational and clinical, has become increasingly important in the healthcare industry, both in terms of delivering effective outcomes and controlling escalating costs. Health analytics encompasses the technologies and skills used to deliver business, clinical, and programmatic insights into the complex interdependencies that drive medical outcomes and costs. Through modelling, optimisation, predictive analytics, and business intelligence, organisations gain insights to strengthen financial performance and improve the way healthcare is delivered for better outcomes across the entire spectrum of health industries, including in the areas of health insurance, healthcare provision and public health. This subject will provide students with the detailed knowledge to understand as well as conceive and conduct data-based analytics which will allow the measurement and potential improvement of the full gamut of health industry activities.

Subject details

TypePostgraduate
CodeDTSC71-104
EFTSL0.125
FacultyBond Business School
Credit10
Subject fees
  • Commencing in 2020: $5,430

Learning outcomes

1. Demonstrate the roles that data analysis serves in the health sector.
2. Apply graphical and descriptive techniques commonly used to summarize health data.
3. Describe basic concepts of probability, random variation, and common statistical distributions and discover meaningful patterns and trends in data.
4. Examine the accuracy, integrity, and comparability of health data.
5. Apply descriptive and inferential methodologies according to the type of study design for answering a particular research question.
6. Apply clinical analytics to various contexts of quality and/or efficiency improvement.
7. Interpret results of data analyses found in health studies and research.

Enrolment requirements

Requisites: ?

Nil

Restrictions: ?
  • Study Abroad Students

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This subject is not available as a general elective. To be eligible for enrolment, the subject must be specified in the students’ program structure.

Subject dates

Future offerings not yet planned.