ANALYSIS OF HEALTH DATA B

HIM4ADB

2020

Credit points: 15

Subject outline

In this subject you 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. You will 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 context 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 4 - UG/Hons/1st Yr PG

Exchange Students: No

Available as Elective: No

Learning Activities: N/A

Capstone subject: Yes

Subject particulars

Subject rules

Prerequisites: HIM3PRB AND HIM3ADA

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 HIM5AHB

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 - Critical Thinking and Problem Solving

INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry

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.

02. Evaluate and report on health data for clinical and related decision-making.

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.

04. Evaluate key data quality issues, and management protocols and functions, in specialised clinical and epidemiological settings.

05. Analyse 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

Enrolment information: 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 on 2 hours workshop/practicum as well on-line group discussions.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
One 1500 word individual assignment	N/A	N/A	N/A	No	30	SILO1, SILO5
One 15 minute group presentation and written research proposal (equivalent to 900 words per person)Each student will contribute approximately 500-words to the written research proposal and present for approximately 4-mins as part of the group presentation (400-word equiv)	N/A	N/A	N/A	No	20	SILO1, SILO2, SILO5
One 2-hour final examination (2000 words equivalent per person)	N/A	N/A	N/A	No	50	SILO1, SILO2, SILO3, SILO4, SILO5

Sydney, 2020, Study period 1, Day