
Dr Padmanesan Narasimhan
MBBS
AMC
MPH (Âé¶¹Éçmadou)
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Grad Cert.Univ. Learning and TeachingÌý(Âé¶¹Éçmadou)
FIADH
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Research areas
- Digital Health Interventions
- Artificial Intelligence in Healthcare
- Health Systems and Informatics
- AI in Public Health
Dr. Padmanesan Narasimhan is a Clinician and Senior Lecturer at the University of New South Wales (Âé¶¹Éçmadou) with extensive expertise in digital health and artificial intelligence (AI) applications in healthcare. His research focuses on leveraging technological innovations to address pressing global health challenges, particularly in the context of infectious diseases like tuberculosis and the management of non-communicable diseases such as hypertension. Dr. Narasimhan has a strong publication record in leading journals, exploring areas such as the perceptions of AI in radiology among medical professionals, the role of informal healthcare providers in tuberculosis care, and the effectiveness of mobile phone interventions for blood pressure control. He is also actively involved in higher degree research supervision, guiding PhD candidates in projects related to conversational chatbots in emergency department triage and AI-enabled chatbots in healthcare settings
Beyond his academic appointments, Dr. Narasimhan is a Fellow of the Australasian Institute of Digital Health and has held significant roles such as Assistant Director of the WHO Collaborating Centre for eHealth at Âé¶¹Éçmadou. His commitment to advancing digital health is further evidenced by his success in securing competitive grant funding as a CIA, including a recent NHMRC IDEAS Grant for a national research initiative. Dr. Narasimhan's work extends to international collaborations, providing expertise and training in digital health and epidemiology in various global settings. His contributions highlight a dedication to innovative research and its practical application in improving health outcomes globally.
Research Areas
- Digital Health Interventions
- Artificial Intelligence in Healthcare
- Health Systems and Informatics
- AI in Public Health
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
NHMRC IDEAS Grant, focuses on developing TRIBOT, an AI-powered conversational chatbot to streamline triage in emergency departments- Lead CIÌý
NIH, USA- Fogarty Ellison Fellow (2005)
Âé¶¹Éçmadou Medicine Prize- Outstanding International Advancement (2016)
PLuS Alliance Fellow (2019-2022)
Fellow, Australasian Institute of Digital Health (2025-)
- 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.
- 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.
My Research Supervision
Integration of formal and informal healthcare providers using digital health in India
Improving triage systems using digital platforms in hospitals in SWSLHD, Sydney
Disease prediction using informal data structures and AI
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My Teaching
PHCM 9790 Digital health: Principles, Practice and Evidence
PHCM 9784 Communicable Disease Control in Global Health
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