HLT511 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.

Subject availability
Session 1 (30)
On Campus
Wagga Wagga Campus
Online
Wagga Wagga Campus
Session 2 (60)
On Campus
Wagga Wagga Campus
Online
Wagga Wagga Campus
Continuing students should consult the SAL for current offering details. 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
HD/FL
Duration
One session
School
School of Dentistry and Health Sciences
Enrolment restrictions
Restricted to students enrolled in post graduate or honours courses in a health related field.
Assumed Knowledge
N/A
Learning Outcomes
Upon successful completion of this subject, students should:
  • be able to differentiate between judgements and decisions;
  • use analytical methods to evaluate their judgements and decision making;
  • use analytical methods to improve the decision making process; and
  • understand external issues which affect the decision making process.
Syllabus
The subject will cover the following topics:
  • Decision making and judgement
    • Differences between decision making and judgement
  • The cognitive continuum
    • Hamms cognitive continuum
    • Intuitive v analytical decision making
  • Expert policy capturing
    • Lens model
    • Policy capturing equations
  • Decision algorithms
    • Decision algorithm development
    • Using algorithms
    • Political considerations
  • Judging Judgement
    • Gold standards
    • Test results
  • ROC Analysis
    • Producing ROC
    • Evaluating ROC
  • Bayes Theory
    • Sensitivity
    • Specificity
    • Predicted values
    • Odds form of Bayes Theory
  • Computer aided decision making
    • Data based
    • Expert systems
    • Neural networks
  • Decision analysis
Contact
Current Students

For any enquiries about subject selection or course structure you will need to contact your Course Director. You can find the name and contact details for your Course Director in your offer letter or contact your School office.

Prospective Students

For further information about Charles Sturt University, or this course offering, please contact info.csu on 1800 334 733 (free call within Australia) or enquire online.

The information contained in the 2017 CSU Handbook was accurate at the date of publication: June 2018. The University reserves the right to vary the information at any time without notice.

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