Digital Health and AI (DHAI)

Our team is at the forefront of harnessing digital health and artificial intelligence to revolutionize healthcare systems globally. Our dedicated team drives impactful research and innovation aimed at creating more equitable, efficient, and patient-centred health outcomes. By bridging the gap between cutting-edge technology and practical healthcare needs, we strive to develop and implement solutions that improve care delivery, strengthen health systems, and empower health professionals across Australia and the Asia-Pacific.
Vision
To lead transformative digital health research and education that enhances equitable, efficient, and patient-centred healthcare systems globally.
Mission
- Advance evidence-based digital health innovations through interdisciplinary research.
- Integrate digital solutions across health systems to improve care delivery and outcomes.
- Educate and empower current and future health professionals in digital health competencies.
- Foster lifelong learning and capacity building in digital health across Australia and the Asia-Pacific.
Research strengths
Our interdisciplinary team focuses on understanding and leveraging digital methodologies to improve health outcomes by adopting methods-oriented research programs. Our work encompasses the entire breadth of digital components including:
- AI powered solutions for enhanced healthcare delivery
- Digital integration for health system strengthening and equitable access
- Capacity building and lifelong learning in digital health
- Development and evaluation of decision support systems, AI, and virtual care solutions
- Design and implementation of trustworthy and ethical AI in health
- Translation of medical technologies into clinical practice
- Predictive epidemic intelligence using machine learning and big data analytics
Leadership
Dr. Padmanesan Narasimhan – Lead
Dr. Padmanesan Narasimhan is a clinician and Senior Lecturer at the аIJʹÙÍø School of Population Health, bringing a wealth of experience and a global perspective to the Digital Health Research Group, which he leads. His passion for strengthening health systems and integrating digital health solutions was ignited early in his career while providing care for HIV/AIDS patients in India and now in an Emergency Department in Australia. This foundational experience underpins his current research, which critically examines how digital platforms can integrate formal and informal healthcare providers, improve hospital triage systems, and utilize AI for disease prediction even with informal data structures. Dr. Narasimhan’s significant contributions to the field are evidenced by numerous publications and prestigious recognitions, including the Fellowship in Australasian Institute of Digital Health. He is also dedicated to nurturing the next generation of digital health professionals, leading the postgraduate course PHCM9790: Digital Health – Principles, Practice and Evidence.
Dr. Narasimhan's leadership extends to impactful research projects that are shaping the future of digital health. He serves as Chief Investigator A for the NHMRC IDEAS Grant-funded AI TRIBOT Study, pioneering the use of an AI-powered conversational chatbot to streamline emergency department triage. This innovative project aims to enhance real-time decision-making and optimize patient flow, representing a cutting-edge digital front-door strategy for acute care services. Furthermore, as Co-Investigator and India Lead for the SHIBU OS INT Initiative's EPIWATCH project, Dr. Narasimhan is at the forefront of developing an AI-driven platform for the early detection of infectious disease outbreaks. This $5.3 million initiative leverages machine learning and big data analytics to provide predictive epidemic intelligence, shifting public health surveillance from reactive to proactive, especially vital in low- and middle-income countries. His work also includes a focus on integrating informal healthcare providers through digital platforms to improve healthcare delivery in low-resource settings, strengthening referral pathways and enhancing diagnosis accuracy and continuity of care.
Dr. Anthony Sunjaya – Co-Lead
Dr Anthony Sunjaya is a medical doctor, Senior Lecturer in Health Leadership and Management and Director of Lifelong Learning (Short Courses and Executive Education) at the School of Population Health, Faculty of Medicine, аIJʹÙÍø Sydney, Australia.
He is an Affiliate Faculty of the Center for Primary Care, Harvard Medical School; an Honorary Senior Research Fellow in Respiratory Health at The George Institute for Global Health; Visiting Researcher, Harefield Respiratory Research Group, Royal Brompton and Harefield Hospitals; and an Honorary Research Fellow at the School of Public Health, Imperial College London. He also advices the Tyree Institute for Health Engineering based out of аIJʹÙÍø's Faculty of Engineering on accelerating the translation of medical technologies into clinical practice.
His research focuses on health systems, primary care, personalised medicine and digital health especially the development and implementation of decision support systems, and patient centred care. Clinically, his work focuses on cardiorespiratory diseases, diabetes, and multimorbidity.
Our impact
Through our transformative research and education in digital health and artificial intelligence, the аIJʹÙÍø School of Population Health is dedicated to enhancing equitable, efficient, and patient-centred healthcare systems globally. Our work, exemplified by projects like the AI TRIBOT Study, EPIWATCH and ImpleMATE, directly improves clinical decision-making, optimizes patient flow, and enables proactive public health surveillance, particularly in low- and middle-income countries. By integrating digital solutions and fostering capacity building, we empower health professionals and bridge gaps in healthcare delivery, ultimately strengthening health systems and ensuring higher quality care for underserved communities.
Our projects
Research themesÂ
Our research is at the forefront of digital health and artificial intelligence, focusing on developing and implementing innovative solutions to address pressing healthcare challenges. We are particularly committed to enhancing equitable, efficient, and patient-centred healthcare systems globally. Our work is broadly categorized into three interconnected themes:
1. AI-Powered Solutions for Enhanced Healthcare Delivery and Disease Surveillance
This theme leverages cutting-edge artificial intelligence to revolutionize various aspects of healthcare. Our projects aim to improve clinical decision-making, optimize patient flow, and enhance early detection of health threats.

Conversational AI for Emergency Department Triage (AI TRIBOT Study)
This pioneering project, funded by an NHMRC IDEAS Grant, focuses on developing TRIBOT, an AI-powered conversational chatbot to streamline triage in emergency departments. TRIBOT integrates natural language processing with clinical triage protocols to enhance real-time decision-making and optimize patient flow, serving as a cutting-edge digital front-door strategy for acute care services.

AI-Based Epidemic Preparedness (EPIWATCH)
As Co-Investigator and India Lead on EPIWATCH, Dr. Narasimhan is involved in this globally recognized AI-driven platform for early detection of infectious disease outbreaks. Utilizing machine learning and big data analytics, EPIWATCH provides predictive epidemic intelligence, facilitating a shift from reactive to proactive public health surveillance, especially in low- and middle-income countries. This project has secured $5.3 million in funding from the SHIBU OS INT Initiative.

Breathlessness Rapid Evaluation And THErapy study (BREATHE) Trial
The BREATHE study aims to integrate a clinical decision support system (BREATHE CDSS) in the electronic health record to better identify and manage patients with breathlessness in primary care. The pragmatic implementation trial will be a cluster randomised controlled 2-arm trial in 40 primary care sites. Practices will be recruited from urban and rural areas.Â
Funder: 2021 MRFF Chronic Respiratory Conditions Grant

SPIROmetry with or without Artificial Intelligence Decision support software (SPIRO-AID) trial
This trial led by collaborators in the United Kingdom will compare the performance of primary care clinicians in the interpretation of real-world spirometry with or without AI spirometry decision support software reports.
Funder: National Institute for Health Research (NIHR) through an AI Award in Health and Care (Phase 3- Application: Grant number AI_AWARD02204)
2. Digital Integration for Health System Strengthening and Equitable Access
This theme focuses on bridging gaps in healthcare delivery, by integrating diverse healthcare providers and improving care pathways through digital platforms.

New ways of actively screening for important health conditions using digital health
The BREATHE SMART study aims to develop and test an automated system that identifies at-risk patients with breathlessness to improve outcomes for patients with the condition. This system will be tested along with the BREATHE CDSS in a cluster randomised controlled trial in urban and rural Australia.
Funder: 2023 MRFF Clinician Researchers – Applied Research in Health Grant

Integrating Informal Healthcare Providers via Digital Platforms
This project is dedicated to improving healthcare delivery in low-resource settings by digitally connecting informal and formal healthcare providers. It strengthens referral pathways, diagnosis accuracy, and continuity of care in underserved communities through interoperable platforms and training. Dr. Narasimhan's passion for health systems strengthening and digital health integration was ignited during his early career providing care for HIV/AIDS patients in India.
3. Developing Platform DHAI Technologies and Managing DHAI Innovation

ImpleMATE - combining ImpleMentation and dATa sciences to advance the speed of evidence integration into hEalthcare
This project, funded by аIJʹÙÍø Research Infrastructure Scheme, is an AI-powered platform developed to accelerate the adoption of health innovations into clinical practice. Led by A/Prof. Taylor and Dr. Chan, ImpleMATE combines implementation and data sciences, leveraging advanced large language models and machine learning techniques, to automate the extraction and synthesis of healthcare implementation knowledge from various data sources. A core principle of the platform is trustworthy AI, ensuring that its algorithms are transparent, fair, and aligned with clinical standards and ethical guidelines. By incorporating robust governance, explainability, and validation processes, ImpleMATE offers real-time and reliable decision support, helping healthcare professionals quickly identify and apply effective strategies while safeguarding patient data. This fosters confidence in AI-assisted care and enhances the efficiency and integrity of evidence-based interventions.

Learning health system (LHS)
Developed as part of the national Precision Care Initiative which aims to integrate precision oncology into routine cancer care, funded by an MRFF Rapid Applied Research Translation grant. The LHS is designed to support clinical decision-making between genetics and oncology experts in a multi-disciplinary team (MDT). Leveraging advanced large language models, the system enables structured capture, synthesis, and retrieval of case-based clinical knowledge, allowing clinicians to access timely, data-driven insights. This approach promotes continuous learning and improves the delivery of precision oncology.

DHAI Entrepreneurship and Commercialisation
Dr. Sunjaya's work includes co-founding BantingMed, a culturally appropriate digital diabetes prevention program, and leveraging the platform to improve outcomes for those with multimorbidity. He’s also actively involved with аIJʹÙÍø's Tyree Institute for Health Engineering to accelerate the translation of medical technologies into clinical practice. Some of the projects supported included those relating to heart disease, ophthalmology, orthopaedics and other fields.
Study Digital Health at аIJʹÙÍø
Digital Health – Principals, practice and evidence (PHCM9790)
We offer postgraduate course delivering a comprehensive overview of digital health and AI. The course covers principles, practical applications, and evidence-based practices in the field of digital health, equipping students with the skills to critically assess and implement solutions in various health care settings.Â
Lifelong Learning – Masterclass in Digital Health and AI
We offer professional development courses on digital health led by multidisciplinary experts from medicine, engineering and business at аIJʹÙÍø Sydney. These courses aim to build and equip graduates with holistic competencies in digital health and AI, using real-world Australian and global case studies – as well as engagement with аIJʹÙ꿉۪s entrepreneurial ecosystem, ranked number 1 in Australia.
Our experts
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Dr Paul Nguyen – PhD Candidate
Mr Dipankar Srirag – PhD Candidate
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Mr Joseph Zhu – Research Assistant