him5hdi health data sets and data integrity




Credit points: 15

Subject outline

In this subject, you will analyse and critique the regulatory and reporting requirements for health datasets at a state and national level. You will investigate the requirements of effective data quality frameworks for health data and develop your own framework for an existing dataset. Appropriate technologies for examining data integrity are applied to interrogate health data at an organisational level.

SchoolSchool of Psychology & Public Health

Credit points15

Subject Co-ordinatorMerilyn Riley

Available to Study Abroad StudentsNo

Subject year levelYear Level 5 - Masters

Exchange StudentsNo

Subject particulars

Subject rules



Incompatible subjectsN/A

Equivalent subjectsN/A

Special conditionsN/A

Graduate capabilities & intended learning outcomes

01. Critique state and national regulatory and reporting requirements for health data.

Examine and compare existing national and state health datasets.

02. Evaluate existing data quality frameworks and design data quality frameworks for existing health datasets.

Develop a framework for evaluating a small dataset.

03. Select, appraise and apply techniques for the interrogation and analysis of data integrity issues of health data.

Exercises and activities related to techniques and tools for data analysis

04. Investigate data quality integrity for organisations to meet national health and safety standards and key performance indicators.

Analyse and evaluate data quality issues in case studies.

Subject options

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Start date between: and    Key dates

City Campus, 2019, Semester 1, Day


Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorMerilyn Riley

Class requirements

LectureWeek: 10 - 22
One 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via online.

WorkShopWeek: 10 - 22
Twelve 2.0 hours workshop per study period on weekdays during the day from week 10 to week 22 and delivered via online.

Computer LaboratoryWeek: 10 - 22
Three 4.0 hours computer laboratory per study period on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
"Optional face-to-face sessions in lie of 8 x hours of online Workshops."


Assessment elementComments%ILO*
Individual written report (2,000-words equivalent, per student)3001, 02, 03, 04
Individual presentation (10 mins) and 1000 word written assignment (total 1,500- words equivalent)3001, 02, 03, 04
Individual 2-hour written examination (2,000-words equivalent per student)4001, 02, 03, 04