INTRODUCTION TO DATA ANALYTICS IN HEALTHCARE
HIM2IDA
2019
Credit points: 15
Subject outline
In this subject, students 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. Students will also investigate the role of health data analytics in quality and performance indicators.
School: School of Psychology & Public Health
Credit points: 15
Subject Co-ordinator: Merilyn Riley
Available to Study Abroad Students: Yes
Subject year level: Year Level 2 - UG
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: HLT1RAE or STA1LS
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Special conditions: N/A
Graduate capabilities & intended learning outcomes
01. Explain and demonstrate the importance of health data within healthcare organisations and public health research.
- Activities:
- Lecture, computer labs and workshops. Guided reading and on-line activities
- Related graduate capabilities and elements:
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
02. Identify and apply appropriate data analytic tools and techniques in quantitative and qualitative research.
- Activities:
- Lecture, computer labs and workshops. Guided reading and on-line activities.
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Critical Thinking,Inquiry/Research)
03. Investigate techniques for the collection, cleaning, analysis, reporting, application and governance of health data.
- Activities:
- Lecture, computer labs and workshops. Guided reading and on-line activities.
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Critical Thinking,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Inquiry/Research)
04. Analyse the role of data analytics in healthcare quality and performance indicators.
- Activities:
- Lecture, computer labs and workshops. Guided reading and on-line activities.
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Critical Thinking,Inquiry/Research)
05. Demonstrate the effective communication and dissemination of health data to different audiences.
- Activities:
- Lecture, computer labs and workshops. Guided reading and on-line activities.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing)
Melbourne, 2019, Semester 1, Blended
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Merilyn Riley
Class requirements
LectureWeek: 10 - 22
One 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via blended.
WorkShopWeek: 10 - 21
Six 2.0 hours workshop per study period on weekdays during the day from week 10 to week 21 and delivered via face-to-face.
"Specific weeks: 10-13, 19, 21"
Computer LaboratoryWeek: 14 - 22
Six 2.0 hours computer laboratory per study period on weekdays during the day from week 14 to week 22 and delivered via face-to-face.
"Specific weeks: 14-18, 20, 22"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Individual workbook (equiv. 1500 words) | 25 | 01, 02, 03, 04 | |
| Individual report (equiv 2000 words) | 45 | 04, 05 | |
| Team analysis of case study and 10 min presentation (equiv 1000 words per person) | 30 | 02, 03 |
Sydney, 2019, Study Period 1, Blended
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Merilyn Riley
Class requirements
LectureWeek: 10 - 22
One 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via blended.
WorkShopWeek: 10 - 21
Six 2.0 hours workshop per study period on weekdays during the day from week 10 to week 21 and delivered via face-to-face.
"Scheduled in weeks: 10-13, 19,21"
Computer LaboratoryWeek: 14 - 22
Six 2.0 hours computer laboratory per study period on weekdays during the day from week 14 to week 22 and delivered via face-to-face.
"scheduled in weeks: 14-18,20,22"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Individual workbook (equiv. 1500 words) | 25 | 01, 02, 03, 04 | |
| Individual report (equiv 2000 words) | 45 | 04, 05 | |
| Team analysis of case study and 10 min presentation (equiv 1000 words per person) | 30 | 02, 03 |