Transforming Healthcare with Data Analytics and AI
Leverage data-driven insights and AI to transform healthcare
Harness the power of data analytics and artificial intelligence (AI) to revolutionise healthcare. This course equips you with the tools to navigate the complexities of healthcare data, leverage AI technologies, and translate healthcare data into solutions that improve clinical practice and operational efficiency.
Enrolment deadline is June 2025. Places are limited.
This is a 12-week online short course consisting of weekly self-paced online learning modules and engaging live Zoom workshops, facilitated by interprofessional specialists and AI experts. Each week, you will engage in 3 hours of asynchronous pre-class learning and 2 hours of interactive, live sessions, designed to enhance your understanding of healthcare data analytics and AI concepts.
What you will learn:
By the end of this course, you will:
- Appraise the benefits and limitations of implementing emerging healthcare solutions in data analytics and AI.
- Translate data project ideas into clinically relevant questions that empower data and EMR teams to generate actionable datasets.
- Demonstrate foundational data concepts, including healthcare data sources, collection, standards, preparation, and analysis.
- Illustrate how to derive insights from data to improve clinical practice through computable and shareable knowledge.
Access a microlearning module developed from the course materials with our:
Hospitals and healthcare settings generate vast amounts of data, but how can we make the most of it? This course helps you unlock the potential of healthcare data and AI, empowering you to turn information into actionable insights that can improve patient care and operational efficiency
Course outline
This course offers a structured series of interconnected modules, blending 3 hours of self-paced online learning with 2 hours of live sessions, to guide you through the process of transforming healthcare using data analytics and AI.
Week 1: Why Data?
- Explore how data analytics and AI can save time and improve patient care.
Weeks 2–4: Healthcare Data and Processes
- Learn about available data sources and the data journey within healthcare organisations.
- Understand data ethics, governance, and storage.
Weeks 5–7: Data Selection and Preparation
- Craft clinically-relevant data questions and develop digital phenotypes.
- Create and communicate data queries and perform data preparation and quality checks.
Weeks 8–11: Data Analysis
- Dive into descriptive analysis, hypothesis testing, regression analysis, machine learning, and AI techniques.
Week 12: Communication
- Master the art of storytelling to present clear and persuasive findings.
Timetable
| Topics | Dates (Wednesdays 6:30-8:30PM) |
| 0- Orientation | 23/07/2025 |
| 1- How can data analytics and AI save time and improve patient care? | 30/07/2025 |
| 2- What data sources are available? | 6/08/2025 |
| 3- What is the data journey and architecture at a health organisation? | 13/08/2025 |
| 4- How do I navigate ethics, governance and storage? | 20/08/2025 |
| 5- How do I craft data questions and digitally phenotype? | 27/08/2025 |
| 6- How do I create and communicate data queries? How can I prepare and quality check the data? | 3/09/2025 |
| 7- Descriptive analysis | 10/09/2025 |
| 8- Regression | 17/09/2025 |
| 9- Machine Learning | 24/09/2025 |
| 10- AI in Healthcare (CDS) | 1/10/2025 |
| 11- AI in Healthcare (Gen AI/NLP) | 8/10/2025 |
| 12- How can I tell a clear, persuasive story with my findings? | 15/10/2025 |
Key features
- Expert insights: Learn from leaders in healthcare, AI, and data science.
- Hands-on learning: Work with real healthcare data to solve practical challenges.
- Ethical focus: Address equity and ethics in designing AI solutions.
- Collaborative projects: Engage with interdisciplinary peers and stakeholders.
- Real-world impact: Develop solutions with practical applications in healthcare.
What are the prerequisites?
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 healthcare expertise required.
- No data analytics required.
Who is the course designed for?
This course is tailored for individuals eager to leverage data analytics and AI to transform healthcare, including:
- Hospital and Primary Care Professionals: With a focus on hospital-based participants.
- Clinicians: Interested in specialising or acquiring essential skills for future projects.
- Novice Data Analysts: Those at the beginning of their analytics journey.
- Emerging Researchers: Including Master's and PhD students, as well as clinical researchers.
- Non-Clinicians: Such as EMR team members, managers, and quality and safety staff.
Fees apply
- $2420 for senior hospital medical staff with CME budget
- $1650 for others
- $1240 Unimelb Staff/Students
- International - submit an inquiry
- Group discounts available - 15% per person (5-9 participants), 30% per person (>10 participants)
Contact
Contact CDTH Education Team, Cdth-education@unimelb.edu.au if you have any questions about the course, or any payment queries.