ANALYSIS OF HEALTH DATA B
HIM5AHB
2018
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.
SchoolSchool of Psychology & Public Health
Credit points15
Subject Co-ordinatorMerilyn Riley
Available to Study Abroad StudentsYes
Subject year levelYear Level 5 - Masters
Exchange StudentsYes
Subject particulars
Subject rules
Prerequisites HIM4AHA and HIM4PPB
Co-requisitesN/A
Incompatible subjectsN/A
Equivalent subjectsN/A
Special conditions Co-taught with HIM4ADB
Graduate capabilities & intended learning outcomes
01. Critque 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
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
02. Evaluate and report on health data for clinical and related decision-making.
- Activities:
- Lectures and workshops. Guided readings and on-line activities
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
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.
- Activities:
- Lectures and workshops. Guided readings and on-line activities
04. Solve key data quality issues, and management protocols and functions, in specialised clinical and epidemiological settings.
- Activities:
- Lectures and workshops. Guided readings and on-line activities
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
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.
- Activities:
- Lectures and workshops. Guided readings and on-line activities
Subject options
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Melbourne, 2018, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorMerilyn Riley
Class requirements
Lecture
Week:
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.
WorkShop
Week:
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, 05 | |
| one 15-minute group presentation & written research proposal (1000 words equivalent per person) | 20 | 01, 02, 05 | |
| one 2-hour final examination (2000 words equivalent per person) | 50 | 01, 02, 03, 04, 05 |