Health Information Technology
Course Level Undergraduate
Course Level Undergraduate
                                                        Area/Catalogue
                                                        
INFT 4019
                                                    
                                                        Course Level
                                                        
Undergraduate
                                                    
                                                        Offered Externally
                                                        
Yes
                                                    
Note: This offering may or may not be scheduled in every study period. Please refer to the timetable for further details.
Course ID
101296
                                                        Unit Value
                                                        
4.5
                                                    
                                                        University-wide elective course
                                                        
No
                                                    
                                                        Course owner
                                                        
School of Information Technology and Mathematical Sciences
                                                    
To familiarise students with specificities of application IT into health domain. To explore key techniques and applications of Information Technology that have been developed for the healthcare domain.
Specificities of IT implementation into the health environment, data in health, clinical coding, health statistics (probability density function, multiple regression, logistic regression), methods of data mining (clustering, association rules, emerging patterns), decision support technology, knowledge representation, automated reasoning techniques (expert systems, neural networks, Bayesian networks), Uncertainty representation and handling (sensitivity and specificity, confidence intervals, conditional probability, Bayesian networks, influence diagrams, fuzzy sets). Medical signal processing. Medical image processing. Standards for interoperability. User interface design issues and approaches. Security and confidentiality in health. Health information systems architectures.
Nil
Nil
Nil
| Component | Duration | ||
|---|---|---|---|
| INTERNAL, MAWSON LAKES | |||
| Lecture | 2 hours x 13 weeks | ||
| Tutorial | 1 hour x 13 weeks | ||
| INTERNAL, CITY EAST | |||
| Lecture | 2 hours x 13 weeks | ||
| Tutorial | 1 hour x 13 weeks | ||
| EXTERNAL, MAWSON LAKES, DISTANCE EDUCATION | |||
| External (On-line materials) | N/A x N/A | ||
| External (Monitored discussions and other on-line tools) | N/A x N/A | ||
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Critical review on selected topics & presentation, Examination, Specific issues in using IT in health context
                EFTSL*: 0.125
                Commonwealth Supported program (Band 2)
                To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.
Non-award enrolment
Non-award tuition fees are set by the university. To determine the cost of this course, go to:
How to determine the relevant non award tuition fee. (Opens new window)
Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.
* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.