Applied Learning Health System
Explore the potentials of digitally-enabled learning health systems and help transform healthcare
$2420 for senior hospital medical staff with CME budget (inc GST)
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
Who you will learn from
Led by Dr. Sat Dushyanthen, a Medical Educator, Senior Lecturer and Researcher with specialisation in Cancer Sciences and Digital Health.
Dr. Sathana Dushyanthen
Digital Health Workforce Development Specialist Centre for Digital Transformation of Health
Dr Sat Dushyanthen is a Medical Educator, Senior Lecturer and Researcher with specialisation in Cancer Sciences. She currently works as an Academic Specialist at the Centre for Digital Transformation of Health.
What people are saying
The small group work has been fantastic, providing a rare opportunity to meet a wide variety of interesting people working in the health sector
— Sarah Finlayson, Quality Coordinator for Mental Health, Albury Wodonga Health
I have already started to apply the principles and knowledge that I have learnt to real world situations.
— Geoff Hebbard, Director, Gastroenterology and Hepatology, The Royal Melbourne Hospital
Fees
For individuals
$1650 for others.
For International - submit an inquiry at cdth-education@unimelb.edu.au
$2420 for senior hospital medical staff with CME budget (inc GST)
For groups
Group discounts available:
15% per person (5-9 participants)
30% per person (>10 participants)
For enquiries, please reach out to us at cdth-education@unimelb.edu.au
For staff and members from the University of Melbourne
$1240 (25% off)
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