Dr Chris Paton
Contact information
Podcast interviews
Simulation based training

Chris Paton's work around the LIFE project offers simulation based training in low income countries and is aimed at saving lives through innovative use of smartphones and mobile devices.
Global health informatics

In a learning health system, health care providers use electronic health records to identify problems, implement local solutions and check if the solutions are effective. Health informatics, or the use of IT in healthcare, needs to find innovative solutions for low income settings, such as the use of open-source softwares and mobile technology. This approach has been used to deliver training to rural healthcare workers in Kenya.
Research groups
Chris Paton
BMBS BMedSci MBA DPhil FBCS
Honorary Visiting Scientist
Research
I'm an Honorary Visiting Scientist with the Health Systems Collaborative and an Associate Professor at the Liggins Institute and the Department of Epidemiology and Biostatistics at the University of Auckland. I'm the founding Editor in Chief of BMJ Digital Health & AI and a Fellow of the British Computer Society (BCS).
I trained in medicine in the UK and worked in the NHS and the NZ healthcare system before entering academia. I received my DPhil in Clinical Medicine from the University of Oxford on the topic of improving the usability of digital health technologies and completed an Executive MBA from the University of Auckland in 2011.
My current research interests include investigating the adoption of AI technologies for clinical decision support, using mathematical modelling for human-computer interaction research, and 3D simulation for health services research and healthcare worker training.
I've recently published articles about "Artificial Intelligences (AI) for Medical Students", "Understanding research on artificial intelligence in healthcare" and "Open Source Digital Health Technologies". I have also published open access online textbooks on Usability, Linux and Digital Health.
Recent publications
Status of Digital Health Technology Adoption in 5 Vietnamese Hospitals: Cross-Sectional Assessment
Journal article
Tran DM. et al, (2025), JMIR Formative Research, 9, e53483 - e53483
Postdischarge health information tools and information needs for mothers of vulnerable newborns in low- and middle-income countries: a scoping review
Journal article
Rababeh A. et al, (2025), BMJ Open, 15, e082824 - e082824
Understanding research on artificial intelligence in healthcare.
Journal article
Paton C., (2025), BMJ medicine, 4
Polycomb-mediated transgenerational epigenetic inheritance of Drosophila eye colour is independent of small RNAs
Preprint
Fitz-James MH. et al, (2024)
HCI-modelling for improving the clinical usability of digital health technologies.
Journal article
Paton C. et al, (2024), Methods (San Diego, Calif.), 227, 60 - 77
Scoping review of interventions to improve continuity of postdischarge care for newborns in LMICs
Journal article
Grewal G. et al, (2024), BMJ Global Health, 9, e012894 - e012894
Mapping patient pathways and understanding clinical decision-making in dengue management to inform the development of digital health tools.
Journal article
Nguyen QH. et al, (2023), BMC medical informatics and decision making, 23
Supporting Autonomous Motivation for Physical Activity With Chatbots During the COVID-19 Pandemic: Factorial Experiment.
Journal article
Wlasak W. et al, (2023), JMIR formative research, 7
Evaluating the documentation of vital signs following implementation of a new comprehensive newborn monitoring chart in 19 hospitals in Kenya: A time series analysis.
Journal article
Muinga N. et al, (2023), PLOS global public health, 3
Using Mobile Virtual Reality Simulation to Prepare for In-Person Helping Babies Breathe Training: Secondary Analysis of a Randomized Controlled Trial (the eHBB/mHBS Trial).
Journal article
Ezenwa BN. et al, (2022), JMIR medical education, 8