The Role of Big Data in Addressing the Determinants of Non-communicable Diseases in the Ageing Era

Digital health is about electronically connecting the points of care so that health information can be shared securely. This is the first step to understanding how digital health can help deliver safer, faster and better quality healthcare ( The convergence of the digital and genomic technologies with health, healthcare, living, and society to enhance the efficiency of healthcare delivery ( Advances in research and innovations in digital health will have the potential to enable everyone to better track, manage, and improve their own and their family's health, live better, more productive lives, as well as reducing the cost of burden of healthcare on society. World Health Organization (WHO) used the term eHealth to describe the cost-effective and secure use of ICT in support of health and other health related fields, including health-care services, health surveillance, health literature, and health education, knowledge and research. eHealth has been a priority for the WHO since 2005[1].

Despite the shift towards collaborative healthcare and the increase in the use of eHealth technologies, there does not currently exist a comprehensive model in addressing of eHealth readiness. The first task of the workshop is to collectively develop factors that need to be considered for measuring eHealth readiness, and in the construction of a universally recognized conceptual model for the measurement of capability in achieving eHealth goals. The second task of the workshop is to identify new measures and data for medical screening or monitoring.


Scholarly events:


Scholarly events:

  • Host PhD student from York University (funded by WUN mobility scheme) for 3 weeks in October/November 2019. The student is preparing another research paper.
  • WUN meeting in 2018 led to the inaugural International Symposium of Digital Health 



Academic Publication:

Poon, C., et al., (2019), Derivation and Analysis of Dynamic Handwriting Features as Clinical Markers of Parkinson’s Disease, In Proceedings of the 52nd Hawaii International Conference on System Sciences, aui, Hawaii, 8 - 11 January

 Scholarly events:

  • WUN Research Open Day on Digital Health, The University of Sydney, 10 December, 2018 , Lecture Theatre 4002, Sydney Nanoscience Hub, 107 academics & Clinicians attended; see Summary
  • WUN Research Development Workshop, The University Sydney, 8, 9 and 11 December 2018, 10 academics came from 5 WUN institutions and 1 non-WUN institution attended and presented research ideas.

  • CUHK: Prof. Kelvin Tsoi, Associate Professor, JC School of Public Health and Primary Care & Big Data Decision Analytic Centre
  • CUHK: Prof. Allen Lee, Assistant Professor, Department of Psychiatry
  • University of Rochester: Dr. Zhiyao Duan, Associate Professor,  Department of Electrical and Computer Engineering
  • University of Rochester: Prof. Martin S. ZandProfessor of Medicine & Medical Humanities, Division of Nephrology.
  • University of Leeds: Dr. Michelle MorrisUniversity of Leeds University Academic Fellow in Health Data Analytics, School of Medicine
  • University of Leeds: Dr. Owen Johnson, Senior Teaching Fellow, School of Computing
  • University of Southampton: Dr. Thanassis Tiropanis, Associate Professor, Web & Internet Science Group, School of Electronics & Computer Science
  • University of Southampton: Prof. Jeremy Wyatt, Emeritus Professor of Digital Healthcare
  • The University of Sydney: Prof. Simon Poon, Associate Professor, School of Information Technologies
  • The University of Sydney: Dr. Mark Latt, Associate Professor, Faculty of Medicine & Health
  • Harvard University: Dr. Chin Hur, Associate Professor,Harvard Medical School
  • National University of Singapore: Dr. Wilson Tam, Assistant Professor, Alice Lee Centre for Nursing Studies
  • Stanford University: Dr. Bryant Lin, Clinical Associate Professor, Department of Medicine
  • IBM Hong Kong: Mr. Samson Tai, Chief Technology Officer

Public Health