HLT711 Clinical Judgement and Decision Making (8)

This subject will explore the issue of judgement and decision making within the context of professional practice. The subject will discuss different approaches to judgement and decision making from an analytical perspective. Students will be exposed to tools that they can use in their professional practice to make and evaluate their judgement and decision making.


Session 2 (60)
On Campus
Wagga Wagga Campus
Wagga Wagga Campus

Continuing students should consult the SAL for current offering details: HLT711. Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject Information

Grading System



One session


Faculty of Science

Enrolment Restrictions

 This subject is available only to students enrolled in the Doctor of Health Science, or in another doctoral-level program with the approval of the  Sub Dean, Graduate Studies in the Faculty of Science.

Subject Relationships

HLT511 Paired Subject

Incompatible Subjects


Learning Outcomes

Upon successful completion of this subject, students should:
  • Be able to differentiate between judgements and decisions;
  • Be able to analyse and evaluate clinical situations, and utilise an evidence-based approach to inform judgements and decision making;
  • Be able to apply critical, analytical and evaluation methods to improve the decision making process;
  • Be able to research, evaluate, and clearly articulate external issues that affect the decision making process;
  • Be able to demonstrate advanced research, analytical, critical, reflection and communication skills.


This subject will cover the following topics:
  • Decision making and judgement
  • Differences between decision making and judgement
  • The cognitive continuum
  • Hamms cognitive continuum, and intuitive vs analytical decision making
  • Expert policy capturing
  • Decision algorithms
  • Judging judgement, including gold standard and test results
  • ROC analysis, production and evaluation
  • Bayes theory
  • Computer-aided decision making
  • Decision analysis

The information contained in the CSU Handbook was accurate at the date of publication: May 2021. The University reserves the right to vary the information at any time without notice.