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Applied Learning Health System University of Melbourne

Highlights
Tuition fee
1650 AUD / full
1650 AUD / full
Unknown
Tuition fee
1650 AUD / full
1650 AUD / full
Unknown
Duration
4 months
Duration
4 months
Apply date
Unknown
Unknown
Apply date
Unknown
Unknown
Start date
Unknown
Unknown
Start date
Unknown
Unknown
Taught in
English
Taught in
English

About

This Applied Learning Health System course offered by University of Melbourne is to support you and your organisation in developing and implementing digital health innovations to improve health systems, clinical decision making, and healthcare quality.

Overview

What you will study

By taking the Applied Learning Health System course offered by University of Melbourne , you will gain the fundamental knowledge and skills in digital health and clinical informatics that you need to apply the Learning Healthcare System approach to practice improvement.

Key features

  • Data 2 Knowledge (D2K). Use data to generate new knowledge. You will learn what it takes to access, collect, and analyse (using machine learning) health care data to build predictive models. You will try out machine learning approaches on real Australian healthcare data (i.e., BioGrid).
  • Knowledge 2 Practice (K2P). Use knowledge to inform practice. You will learn co-design, prototyping, ideation, and workflow principles and apply them to a real Australian virtual care model (i.e., Datos and a Diabetes patient care app).
  • Practice 2 Data (P2D). Change practice to measurably transform services and outcomes. You will learn how to implement and evaluate new digital technologies and strategise how to transform clinical workflows.

Programme Structure

The program focuses on:

  • Gain hands-on experience by working through the phases of a Learning Healthcare System
  • Immediately apply your new knowledge to your workplace
  • In teams, meet and learn from other participants in a variety of roles (e.g., clinicians, managers, data scientists), countries (Malaysia and Australia), and organisations (small and large, metro and regional, hospitals, GPs, and public health)
  • Learn from world-class instructors and subject matter experts
  • Gain broad experience by stepping through a case scenario spanning 10 years - letting you practice with real Australian healthcare data and virtual care apps as you consider how these models can evolve over time
  • Explore what is next for you and your role in digital health

Key information

Duration

  • Part-time
    • 4 months

Start dates & application deadlines

We did our best, but couldn't find the next application deadline and start date information online.
More details
  • Upcoming dates for this course are yet to be announced.

Language

English

Delivered

Online

Campus Location

  • Melbourne, Australia

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • CRICOS: 00116K
  • This course is for anyone who has an interest in healthcare data and utilising it to improve the healthcare system.
  • There are no formal prerequisites, but participants should be ready to engage with online material and participate in Zoom workshops.
  • Strong interest in the topic and commitment to complete the course and engage in real-time sessions
  • No programming experience or healthcare expertise required

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    1650 AUD / full
    1650 AUD / full
  • Domestic

    Citizens or residents
    1650 AUD / full
    1650 AUD / full

Additional Details

  • For individuals: AUD $1650
  • Senior hospital medical staff with CME budget: AUD $2420 (inc GST)
  • University of Melbourne Staff&Members: AUD $1240 (25% off)

Funding

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