INTRODUCTION TO DATA ANALYTICS IN HEALTHCARE

HIM2IDA

2020

Credit points: 15

Subject outline

In this subject, you are introduced to quantitative statistics, qualitative coding and the role of health data analytics in healthcare organisations and public health research. Key emphases include understanding the importance of healthcare data as an asset, identifying and applying the key elements of the data capture and analysis process in key research methodologies, along with effective presentation, communication and dissemination of findings beyond peer review publications. You will also investigate the role of health data analytics in quality and performance indicators.

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 2 - UG

Exchange Students: No

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: STA1LS OR HLT1RAE

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: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Learning resources

Introduction to Research in the Health Sciences

Resource Type: Book

Resource Requirement: Prescribed

Author: Polgar Stephen and Thomas Shane A.

Year: 2013

Edition/Volume: 6. ed

Publisher: Churchill Livingstone

ISBN: N/A

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: 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

COMMUNICATION - Communicating and Influencing

DISCIPLINE KNOWLEDGE AND SKILLS

INQUIRY AND ANALYSIS - Critical Thinking and Problem Solving

INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry

Intended Learning Outcomes

01. Explain and demonstrate the importance of health data within healthcare organisations and public health research.

02. Identify and apply appropriate data analytic tools and techniques in quantitative and qualitative research.

03. Investigate techniques for the collection, cleaning, analysis, reporting, application and governance of health data.

04. Analyse the role of data analytics in healthcare quality and performance indicators.

05. Demonstrate the effective communication and dissemination of health data to different audiences.

Melbourne (Bundoora), 2020, Semester 1, Blended

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Merilyn Riley

Class requirements

Computer LaboratoryWeek: 14 - 21
Three 2.00 hours computer laboratory per study period on weekdays during the day from week 14 to week 21 and delivered via face-to-face.
Specific Weeks: 13-14, 21

LectureWeek: 10 - 22
One 1.00 hour lecture per week on weekdays during the day from week 10 to week 22 and delivered via blended.

WorkShopWeek: 10 - 22
Nine 2.00 hours workshop per study period on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Specific Weeks: 10 & 12, 15-20

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
Individual workbooks (equiv. 750 words)	N/A	N/A	N/A	No	10	SILO1, SILO2, SILO3, SILO4
Individual report (equiv. 1750 words)	N/A	N/A	N/A	No	40	SILO4, SILO5
Team analysis of case study and 10 min presentation (equiv 1000 words per person)	N/A	N/A	N/A	No	20	SILO2, SILO3
One hour examination (equiv. 1000 words)	N/A	N/A	N/A	No	30	SILO1, SILO2, SILO3, SILO4

Sydney, 2020, Study period 1, Blended