Track Co-chairs
Lemai Nguyen, Deakin University
Eila Erfani, University of New South Wales
Saeed Akhlaghpour, University of Queensland
Samaneh Madanian, Auckland University of Technology
Frada Burstein, Monash University
Track Description
Healthcare information systems are advancing at an unprecedented pace, propelled by breakthroughs in AI, generative AI, digital twins, IoT, and a range of emerging digital technologies. These innovations are reshaping the future of care, driving human-centred research that delivers economic, health, social, and societal benefits.
Across the sector, policymakers, organisations, healthcare professionals, and consumers are embracing digital tools to create integrated, seamless wellness and health services — from individual patient care to community-wide initiatives. Whether embedding AI and Large Language Models (LLMs) into clinical support systems, deploying novel point-of-care devices, empowering self-care interventions, or integrating digital assistants, the shared goal is clear: to build a safer, more connected healthcare system through digital transformation and innovation.
The widespread availability of mobile and wearable devices, IoT sensors, digital twins, and AI-powered platforms has enabled continuous information flow, advanced analytics, decentralised decision-making, and real-time data exchange. These technologies rapidly transform public health, telehealth, preventive care, patient self-management, and home-based services. Healthcare practitioners are leveraging them to monitor, diagnose, and manage health conditions more effectively, while patients are playing an increasingly active role in their care through mobile health apps, wearables, and remote monitoring tools.
Yet alongside these advances come new challenges: ethical concerns surrounding the use of AI in healthcare, data security and privacy risks, the imperative to provide timely, accurate, and comprehensive information to enable meaningful transformation, and the need to navigate the ethical, social, and cultural dimensions of reimagining clinical and administrative healthcare practices.
We invite submissions from academics, practitioners, students, developers, and industry and government partners reporting research in progress, completed studies, or practice-oriented research papers addressing current trends and challenges in digital health. We welcome empirical, conceptual, design science, and simulation-based research. All methodological approaches and theoretical perspectives are encouraged, provided they advance the theoretical understanding of digital health and offer practical contributions to healthcare innovation and practice.
Topics of interest include, but are not limited to:
- AI, Machine Learning, and Emerging Technologies: Enhancing healthcare delivery across prevention, diagnostics, treatment planning, and patient outcomes.
- Generative AI in Healthcare: Development, deployment, and impact of generative AI-driven health solutions.
- Digital Health Literacy: Empowering consumers, healthcare workers, and policymakers to navigate and utilise digital tools effectively.
- Ethical and Social Considerations: Legal, ethical, and societal implications of digital and AI-enabled healthcare.
- Patient Empowerment: Designing inclusive smart health systems that enable all patients, including marginalised groups, to participate in their care actively.
- Telehealth and Remote Care: Expanding access and improving continuity, safety and quality of care through remote technologies.
- Wearables and IoT: Leveraging connected devices for continuous monitoring and rich health data collection.
- Big Data and Analytics: Harnessing data to inform clinical decision-making and shape health policy.
- Healthcare Resilience: Strengthening health systems’ ability to respond to epidemics, emergencies, and systemic disruptions through digital innovation.