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

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

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

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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Start date between: and    Key dates

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 elementComments% 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