Available in 2024
Course code

GSBS6386

Units

10 units

Level

6000 level

Course handbook

Description

Healthcare data analytics is the application of data analytics and statistics techniques to healthcare data. Students learn how to apply core concepts of data analytics to healthcare examples, and about the implications for the purposes of policy evaluation, design, development and implementation in healthcare. This course is designed to provide an understanding of the management, analysis and interpretation of diverse healthcare data. Students will be exposed to a broad range of topics, including an in-depth exposure to fundamental analytic and biostatistical concepts; a range of different methodologies used to collect data; a variety of techniques to appropriately analyse data; and information on how to assess the results of such analysis.


Availability2024 Course Timetables

Newcastle City Precinct

  • Trimester 3 - 2024

Online

  • Trimester 3 - 2024

Learning outcomes

On successful completion of the course students will be able to:

1. Assess the roles and challenges of data analytics in healthcare research

2. Develop strategies for data collection and management of healthcare data

3. Explore the tools and techniques used to analyse and extract value from healthcare data

4. Conduct descriptive and analytic studies in health management and health policy research


Content

The topics in this course include (but is not limited to) the following modules:

  1. Analytics and decision making in healthcare
  2. Theories and models for healthcare data analysis
  3. Contemporary issues in healthcare analytics
  4. Data quality and governance
  5. Developing and using effective indicators
  6. Statistical methods and control chart principles

Assessment items

Case Study / Problem Based Learning: Problem Based Learning Assignment

Written Assignment: Report Critique

Project: Real Data Project


Contact hours

Trimester 3 - 2024 - Newcastle City Precinct

Lecture-1
  • Face to Face On Campus 2 hour(s) per week(s) for 12 week(s) starting in week 1
Online Activity-1
  • Self-Directed 6 hour(s) per term
  • For Face to face mode - 6 hrs of online content per term provided for self directed learning

Trimester 3 - 2024 - Online

Online Activity-1
  • Online 30 hour(s) per term

Course outline

Course outline not yet available.