From mental health digital solutions to clinical decision support across primary and specialty care, our researchers are driving the future of digital health innovation. Partner with us to help shape tomorrow's healthcare technology landscape and improve patient outcomes worldwide.
Contact us at digital-health@unimelb.edu.au to find out about our partnership opportunities.
Our digital health vision
Our vision is to build a dynamic ecosystem of academic-industry partnerships to accelerate digital health research and bring impactful innovations to life that address patient, physician and healthcare system needs.
At the heart of every successful partnership is a shared commitment to solving problems. When the academic rigour and breakthrough innovation of our University researchers meets the practical, solution-driven mindset of industry, we can unlock the full potential of research to drive sustainable, real-world impact. Kiara Bechta-Metti, Director, Business Development, Medicine Dentistry and Health Sciences & Life Sciences Cluster Lead, University of Melbourne
Partnership opportunities across digital health
We are excited by the diversity of strategic and collaborative partnership opportunities available across the following digital health capability areas. Download our full capabilities deck for more information about these projects (PDF, 11.0 MB).
Mental Health
-
An online platform creating a more connected world for people with disability and carers. Project lead: Associate Professor Dom Kwasnicka
-
Evidence-based positive mental health and wellbeing support in your pocket. Project lead: Professor Nikki Rickard
-
A person-centred approach to triaging in primary care. Project lead: Dr Cath Kaylor-Hughes
-
A music adaptive technology to manage agitation in people living with dementia. Project lead: Professor Felicity Baker
-
An app-based program that boosts memory to improve mental health. Project lead: Dr Caitlin Hitchcock
-
An AI-assisted Cognitive Behavioural Therapy. Project lead: Professor Simon Dennis
-
A precision health app for personalised mental health management via healthy lifestyle. Project lead: Dr Nupur Nag
-
Better mapping symptom assessment to treatment options. Project lead: Dr Alicia Smith
-
A patient-facing web-based structured support tool to aid antidepressant deprescribing. Project lead: Dr Amy Coe
Clinical Decision Support Tools
-
An app to enable all babies to be screened for cerebral palsy. Project lead: Professor Alicia Spittle
-
Developing interpretable machine learning (ML) models to support decision making in Emergency Departments. Project lead: Professor Uwe Aickelin
-
Clinical decision support technology designed by GPs for GPs. Project lead: Dr Barbara Hunter
Visit the Future Health Today webpage to find out more.
-
Enhancing chemotherapy dosing accuracy through AI-driven tools. Project lead: Professor Justin Yeung
-
Clinical decision support software to accurately predict dosing for patients with diabetic kidney disease. Project lead: Professor Elif Ekinci
-
A digital decision tool empowering patients to make personalised, evidence-based decisions about total knee replacement surgery. Project lead: Associate Professor Chris Schilling
-
A digital framework for rapid, personalised anatomical model generation and joint replacement surgical planning. Project lead: Professor David Ackland
Wearables and Digital Phenotyping
-
A smartphone sensing platform designed for behavioural studies and digital phenotyping. Project lead: Dr Simon D’Alfonso
-
AI-driven earable sensing for cognitive monitoring and augmentation. Project lead: Dr Ting Dang
Health Equity
-
Developing culturally responsive digital mental health solutions. Project lead: A/Professor Róisín McNaney
Fitness Tech
-
A real-time imaging system for monitoring musculoskeletal injury during sports.Project lead: Professor Peter Lee
Virtual Reality
-
Innovations in digital storytelling in later life. Project lead: Professor Jenny Waycott
Data Analytics and AI
-
Creating knowledge from primary care data through research. Project lead: Professor Dougie Boyle
-
Patient-Ventilator Asynchrony Detection. Project lead: Dr Ling Luo
Telehealth and Virtual Care
-
A digital peer support program to improve health outcomes for critical care survivors. Project lead: Associate Professor Kimberley Haines
-
Using diabetes recommender apps to create behaviour change. Project lead: Professor Reeva Lederman
-
An AI-enabled telehealth solution for remote access to oral cancer screening. Project lead: Dr Tami Yap
Contact us today at digital-health@unimelb.edu.au to find out more about any of the above projects and partnership opportunities.
Impact story: MIMS Drugs4dent®
A decision support tool for dental practitioners
During her career as a pharmacist and dentist, Associate Professor Leanne Teoh recognised that there was no specific resource to assist dentists with prescribing medications or provision of dental-specific drug information.
“The idea for Drugs4dent® came about to bridge the gap between drug knowledge and dental clinical practice,” explains Associate Professor Teoh.
Commercialised from Teoh’s PhD research and licensed to MIMS Australia to create MIMS Drugs4dent®, this digital health tool became Australia's first dental-specific digital medicines decision support tool, addressing a key pain point in the dental prescribing market.
MIMS Drugs4dent® supports safe medicine management and prescribing by dental practitioners and is currently available to Australian and New Zealand dental practitioners on a subscription model, with potential for international expansion.
Digital health service offerings
We offer a range of services across these capability areas, including advisory or consultancy services, access to facilities and educational courses.
Clinical Evidence and Studies
-
A healthtech studio helping researchers, health tech and startups in the development of digital health innovation that actually works, for patients and professionals. Our multidisciplinary team specialises in validating and localising digital health tools, from design and simulation-based validation, with a strong focus on equity and consumer engagement, through to health economics and regulatory alignment. This includes clinical AI, virtual care platforms, and decision support systems across the entire digital health lifecycle.
Reach out to us at health-informatics@unimelb.edu.au.
-
Expertise in ultra-high field MRI and PET/CT scanning in clinical, basic science and engineering studies. Reach out to us at mbc-iu@unimelb.edu.au.
Health Informatics, Data Analytics and AI
-
Offering data analytics expertise and support across all stages of the research lifecycle. Reach out to us at mdap-info@unimelb.edu.au.
-
An R toolkit for omics data integration. Includes specialised workshops, consulting services and access to open-source software toolkit. Reach out to us at kimanh.lecao@unimelb.edu.au.
-
An expert advisory partner in evidence-based health and medical data analytics. Reach out to us at dmai@unimelb.edu.au.
-
The School of Computing and Information Systems has world-leading expertise in the design, development, implementation and evaluation of digital health technology. Our capabilities span clinical applications (health informatics, mobile apps, wearable sensing), research and analytics (health data analytics, digital mental health), and governance (health information systems, digital health ethics).
We can work with you to deliver solutions that improve patient outcomes, streamline clinical workflows, and inform evidence-based policy decisions.
Workforce Development
-
Building the next generation of the digital health workforce through professional development opportunities including accredited interprofessional programs and short courses, entry-to-practice degrees and postgraduate units, and masterclasses. Our award-winning short courses Applied Learning Health Systems, Idea to Proposal, and Transforming Healthcare with Data & AI are designed for students, clinicians, innovators, researchers, and healthcare professionals. Reach out to cdth-education@unimelb.edu.au to find out more.
-
Industry PhD studentships (4 years) and short-term research internships (3-6 month) options available, helping your organisation to achieve R&D goals by working with you to tailor a project to your specific needs. Reach out to GR-Internships@unimelb.edu.au to find out more.
-
ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications. Working with industry to solve complex problems such as workforce management, appointment scheduling, predictive modelling, resource allocation and more. Options include PhD studentships, Master’s projects, internships, and contracts. Reach out to info@optima.org.au.
-
Developing industry-aligned micro-credentials, highly accessible short courses and master classes designed to quickly empower you and your team with new skills employers need (e.g., AI for Health Professionals series).
Reach out to custom-education@unimelb.edu.au.
-
An initiative aiming to develop an internationally leading hub focussed on health sector excellence and innovation, through a suite of leadership programs.
Enquire directly to the above service contacts to explore the full range of our offerings.
Learn more about University of Melbourne digital health capabilities
The Validitron
The Validitron is a multi-disciplinary team of clinicians and research experts in digital health implementation, UX or human factors validation, and evaluation based at the University of Melbourne.
Melbourne Data Analytics Platform
The Melbourne Data Analytics Platform is a diverse team of research data and software experts enabling data-intensive, data-informed, and collaborative research across the University of Melbourne.
Statistical Consulting Centre
The Statistical Consulting Centre has been realising the potential and complexities of data since 1984. We deal with real world issues in a practical, robust manner. We have a wealth of knowledge to share, be it in our courses or one on one consulting.
Banner image: App-based digital blood pressure monitor in use by patient