Updating Results

University of Melbourne

  • 37% international / 63% domestic

Short course: Applied Learning Health System

  • Non-Award

The Learning Health System (LHS) approach aims to streamline improvements to individual and population health, bridging the evidence-to-practice gap. It incorporates health informatics, design-thinking, implementation science, public health, and health services to drive digital transformation in healthcare.

Key details

Degree Type
Non-Award
Duration
13 - 13 weeks full-time
Study Mode
Online

About this course

Overview

The Learning Health System (LHS) approach aims to streamline improvements to individual and population health, by bridging the evidence-to-practice gap. Patients and clinicians can use the model to build evidence collaboratively and apply it to innovation, quality and safety and to create value in health care.

The foundations of a LHS are approaches in health informatics, design-thinking, implementation science, public health, and health services, which together can drive the digital transformation of a healthcare system.

  • 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.

Entry requirements

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
  • Counts for 20 CHIA CPD points.

Study locations

Online

What you will learn

What you will learn

Become a part of the digital transformation of health

The course will involve a series of modules that build on each other to provide an overview of all the steps required in an effective learning health system cycle. Pre-class learning will include a range of online, interactive learning and application activities developed by the instructors. In-class learning will involve hands on, guided workshops by instructors and group work using a variety of tools and software to interrogate the data and develop digital health solutions.

  • 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

Course structure

Course details

This is a 13-week online short course on Learning Health Systems. Live Zoom sessions will run from 6:30-9:00 PM on a weeknight. Full schedule available here. Course schedule

The course will involve a series of modules that build on each other to provide an overview of all the steps required in an effective learning health system cycle. Pre-class learning will include a range of online, interactive learning and application activities developed by the instructors. In-class learning will involve hands on, guided workshops by instructors and group work using a variety of tools and software to interrogate the data and develop digital health solutions.

  • 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 practise 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.

The Learning Health System (LHS) approach aims to streamline improvements to individual and population health, by bridging the evidence-to-practice gap. Patients and clinicians can use the model to build evidence collaboratively and apply it to innovation, quality and safety and to create value in health care.

The foundations of a LHS are approaches in health informatics, design-thinking, implementation science, public health, and health services, which together can drive the digital transformation of a healthcare system.

  • 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.

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
  • Counts for 20 CHIA CPD points.

Anyone who has an interest in healthcare data and utilising it to improve the healthcare system.

  • All Clinicians
  • All Allied Health Professionals
  • Public Health Professionals
  • Epidemiologists
  • Researchers
  • Data Scientists/Analysts
  • Bioinformaticians
  • Information technologists
  • Government/Management representatives