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.

SchoolPsychology and Public Health

Credit points15

Subject Co-ordinatorMerilyn Riley

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 2 - UG

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules

PrerequisitesSTA1LS OR HLT1RAE

Co-requisitesN/A

Incompatible subjectsN/A

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Readings

Introduction to Research in the Health Sciences

Resource TypePrescribed

Resource RequirementN/A

AuthorPolgar Stephen and Thomas Shane A.

Year2013

Edition/Volume6. ed

PublisherChurchill Livingstone

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Career Ready

Career-focusedNo

Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/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.

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2020, Semester 1, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorMerilyn Riley

Class requirements

Computer Laboratory Week: 14 - 21
Three 2.00 h 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"

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

WorkShop Week: 10 - 22
Nine 2.00 h 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 elementCommentsCategoryContributionHurdle% ILO*
Individual workbooks (equiv. 750 words)N/AN/AN/ANo10 SILO1, SILO2, SILO3, SILO4
Individual report (equiv. 1750 words)N/AN/AN/ANo40 SILO4, SILO5
Team analysis of case study and 10 min presentation (equiv 1000 words per person)N/AN/AN/ANo20 SILO2, SILO3
One hour examination (equiv. 1000 words)N/AN/AN/ANo30 SILO1, SILO2, SILO3, SILO4

Sydney, 2020, Study period 1, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorMerilyn Riley

Class requirements

Computer Laboratory Week: 14 - 21
Three 2.00 h 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"

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

WorkShop Week: 10 - 21
Nine 2.00 h workshop per study period on weekdays during the day from week 10 to week 21 and delivered via face-to-face.
"Specific Weeks: 10 & 12, 15-20,22"

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*
Individual workbooks (equiv. 750 words)N/AN/AN/ANo10 SILO1, SILO2, SILO3, SILO4
Individual report (equiv. 1750 words)N/AN/AN/ANo40 SILO4, SILO5
Team analysis of case study and 10 min presentation (equiv 1000 words per person)N/AN/AN/ANo20 SILO2, SILO3
One hour examination (equiv. 1000 words)N/AN/AN/ANo30 SILO1, SILO2, SILO3, SILO4