Credit points: 15

Subject outline

In this subject, students analyse, interpret and use coded and non-coded health data beyond the treatment and disease/operation classification stages. Key emphases include the identification, critical evaluation and objective uses of health data in epidemiological and clinical research; health data and statistics applications in health care management and clinical decision-making; speciality performance indicators; identification and resolution of regulatory, ethical and management issues surrounding registries, health databases and clinical trials; and evaluating the quality, integrity, and comparability of coded data and their statistical outcomes. Students become competent in health data analytics through analysing, critiquing, applying, and advising upon health data in clinical, epidemiological, and healthcare management environments, and in the contexts of state and national population health monitoring.

SchoolPsychology and Public Health

Credit points15

Subject Co-ordinatorMerilyn Riley

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 5 - Masters

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules

PrerequisitesHIM4PPB AND HIM4AHA


Incompatible subjectsN/A

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsCo-taught with HIM4ADB

Minimum credit point requirementN/A

Assumed knowledgeN/A

Career Ready


Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Critique research designs, and techniques for the collection, analysis, reporting, applications and evaluation of health data and information beyond the patient/client treatment and disease and operation classification stages.
02. Evaluate and report on health data for clinical and related decision-making.
03. Appraise the principles and processes of establishing, managing and analysing data in specialised clinical and epidemiological databases and registries, including the legislative, privacy and ethics-related requirements.
04. Solve key data quality issues, and management protocols and functions, in specialised clinical and epidemiological settings.
05. Evaluate the quality of coded and other administrative data and their statistical outcomes in a clinical or observational epidemiological study.; and provide expert advice to clinicians and researchers on this data.

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2021, Semester 1, Day


Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorMerilyn Riley

Class requirements

LectureWeek: 10 - 22
One 1.00 hour lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

WorkShopWeek: 10 - 22
One 2.00 hours workshop per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Students to complete one 2-hour workshop/practicum as well as online group discussions.


Assessment elementCommentsCategoryContributionHurdle% ILO*
One 1500-word assignment (individual)N/AN/AN/ANo30 SILO1, SILO5
One 15-minute group presentation & written research proposal (1000 word equivalent per person)N/AN/AN/ANo20 SILO1, SILO2, SILO5
One 2-hour final examination (2000 word equivalent per person)N/AN/AN/ANo50 SILO1, SILO2, SILO3, SILO4, SILO5