UnitLevel 5Postgraduate

MPH5277 Practical data management

Faculty of Medicine, Nursing and Health Sciences

MPH5277 Practical data management is a level 5, 6-credit-point, postgraduate unit from the Faculty of Medicine, Nursing and Health Sciences, offered in 2020 in Semester 1 at Alfred Hospital. It has no prerequisites.

Credit points
6
Offered in 2020
Semester 1
Alfred Hospital

This is the 2020 handbook entry. See the 2027 entry.

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Requisites

Before MPH5277

Corequisites

Pass these before, or take them in the same semester.

After MPH5277

No unit lists MPH5277 as a prerequisite in the 2020 handbook.

Enrolment rules

Corequisite: Must be enrolled in a Postgraduate degree

Overview

Managing health data has never been more challenging or significant. Data now plays a pivotal role in health care provision, discovery and research.

As health data becomes more widely accessible, it is essential that health data users can identify high quality data and understand the implications of poor data management.

In this unit, students will explore health data management using a practical, skills-based approach. Students will be guided through the process and pitfalls of health data management from project inception to final data analysis for a hypothetical study. Practical skills will be developed through the completion of weekly data management tasks and coding exercises.

Topics covered include: data management for project set-up, data collection design and pitfalls, data querying and cleaning, handling tricky data, interim data reporting and preparing for data analysis.

Offerings in 2020

Teaching periodCampusMode
First semesterAlfred HospitalBlock on
First semester (Fully flex)Alfred HospitalFlexible

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Develop and implement a data management workflow from a project protocol

  2. 2

    Interpret the role of data management in identifying and supporting operational KPIs

  3. 3

    Design and construct interim data reports

  4. 4

    Summarise the barriers to data quality and the impact upon analysis

  5. 5

    Apply new knowledge of data quality and monitoring to synthesize an analysis data set

  6. 6

    Apply knowledge and skills of user experience to create a data set handbook

Workload and teaching

6 hours of teacher-directed learning activities per week, and 6 hours of self-directed study per week, plus 2 compulsory on-campus Block Days.

Contacts

Chief Examiners
Mr Yayehirad Melsew
Mrs Angela Brennan
Unit Coordinators
Mr Yayehirad Melsew
Mrs Angela Brennan

Common questions

What are the prerequisites for MPH5277?

None, but you must take MPH5040 before or alongside it.

When is MPH5277 offered?

In 2020, MPH5277 runs in Semester 1 at Alfred Hospital.

More details

Credit points
6
Level
5
Study level
Postgraduate
Faculty
Faculty of Medicine, Nursing and Health Sciences
Organisational unit
Department of Epidemiology and Preventive Medicine
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Not available