ANALYSIS OF HEALTH DATA B

HIM5AHB

2020

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.

School: Psychology and Public Health (Pre 2022)

Credit points: 15

Subject Co-ordinator: Merilyn Riley

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 5 - Masters

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: HIM4PPB AND HIM4AHA

Co-requisites: N/A

Incompatible subjects: N/A

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: Co-taught with HIM4ADB

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

INQUIRY AND ANALYSIS - Creativity and Innovation
INQUIRY AND ANALYSIS - Critical Thinking and Problem Solving
INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry

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.

Melbourne (Bundoora), 2020, Semester 1, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Subject Instance Co-ordinator: Merilyn 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.

Assessments

Assessment elementCommentsCategoryContributionHurdle%ILO*

One 1500-word assignment (individual)

N/AN/AN/ANo30SILO1, SILO5

One 15-minute group presentation & written research proposal (1000 words equivalent per person)

N/AN/AN/ANo20SILO1, SILO2, SILO5

One 2-hour final examination (2000 words equivalent)

N/AN/AN/ANo50SILO1, SILO2, SILO3, SILO4, SILO5