ANALYSIS OF HEALTH DATA B
HIM5AHB
2015
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 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.
School: School of Psychology & Public Health
Credit points: 15
Subject Co-ordinator: Merilyn Riley
Available to Study Abroad Students: Yes
Subject year level: Year Level 5 - Masters
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: HIM4AHA and (HIM4PPB or HIM5PPB)
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Special conditions: N/A
Graduate capabilities & intended learning outcomes
01. Identify and critically assess 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.
- Activities:
- Lectures and workshops. Guided readings and on-line activities
02. Evaluate and report on health data for clinical and related decision-making.
- Activities:
- Lectures and workshops. Guided readings and on-line activities
03. Examine 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.
- Activities:
- Lectures and workshops. Guided readings and on-line activities
04. Identify and solve key data quality issues, and management protocols and functions, in clinical trials.
- Activities:
- Lectures and workshops. Guided readings and on-line activities
05. Interpret and apply coded and other administrative data in a clinical or observational epidemiological study.
- Activities:
- Lectures and workshops. Guided readings and on-line activities
06. Evaluate the quality and comparability of coded data and their statistical outcomes; and provide expert advice to clinicians and researchers on same.
- Activities:
- Lectures and workshops. Guided readings and on-line activities.
Melbourne, 2015, Semester 1, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Merilyn 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 face-to-face.
WorkShopWeek: 10 - 22
One 2.0 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."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| one 1500-word assignment (individual) | 30 | 01, 06 | |
| one 15-minute group presentation (1000 words equivalent per person) | 20 | 01, 02, 05, 06 | |
| one 2-hour final examination | 50 | 01, 02, 03, 04, 05, 06 |