Dr Chris Paton
Head of the Global Health Informatics Group
Global Health Informatics
Dr Chris Paton is the Head of the Global Health Informatics Group at the University of Oxford. His research group investigates how new digital health technologies such as electronic health records (EHRs), mHealth apps, and new machine learning techniques can be used to improve healthcare.
Following his training as a medical doctor in the UK, he moved into Clinical Informatics and worked as a Senior Research Fellow at the National Institute for Health Innovation in New Zealand before returning to the UK to join the University of Oxford. He received his Fellowship of the UK Faculty of Clinical Informatics in 2018 and became an Official Fellow of Parks College, Oxford in 2019.
He is the Principal Investigator for the LIFE (Life-saving Instruction for Emergencies) project. LIFE is a smartphone-based simulation training platform that uses a virtual hospital. environment to simulate medical emergencies to train healthcare workers. Launched in April 2019, LIFE has now been downloaded by thousands of healthcare workers in Africa and Dr Paton is now leading a clinical trial of the platform in Kenya funded by GCRF. See here for a BBC interview about the project.
Dr Paton collaborates on several large-scale international projects including NEST360, a £50 million initiative that aims to deliver new technologies and training to improve neonatal care in Africa and a new Wellcome Trust Innovation Flagship in Vietnam that will develop and implement a range of new AI-based monitoring devices in intensive care units (ICUs) in South-East Asia.
He currently supervises 3 DPhil students at the University of Oxford with Professor Niall Winters in the Department of Education and Professor Mike English at the Nuffield Department of Medicine. He also lectures and supervises students for the MSc in International Health and Tropical Medicine.
Dr Paton has served as a digital health consultant the New Zealand Government and the Pathways for Prosperity Commission. He co-founded and chaired the International Medical Informatics Association (IMIA) social media working group and is currently co-chair of the IMIA open source working group. He is Associate Editor of “Digital Health Journal” (Sage Publishing) and “BMC: Medical Informatics and Decision Making”. He is a peer reviewer on digital health topics for scientific journals including Nature, PLOS One, JAMIA, JMIR, ANZJPH and serves as an expert grant reviewer for the UK’s Medical Research Council, the Research Council of Norway. He is also the Founder and Editor of the Health Informatics Forum, an online professional learning community that offers free courses, seminars and online discussion with a membership of over 11,000 health informatics professionals around the world.
An Open Science Approach to Artificial Intelligence in Healthcare.
Paton C. and Kobayashi S., (2019), Yearbook of medical informatics
Analysis and Linkage of Data from Patient-Controlled Self-Monitoring Devices and Personal Health Records
Paton C., (2014), Social Media and Mobile Technologies for Healthcare, 227 - 236
Building Learning Health Systems to Accelerate Research and Improve Outcomes of Clinical Care in Low- and Middle-Income Countries
English M. et al, (2016), PLOS Medicine, 13, e1001991 - e1001991
A personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF Study
Triantafyllidis A. et al, (2015), International Journal of Medical Informatics, 84, 743 - 753
Implementing an Open Source Electronic Health Record System in Kenyan Health Care Facilities: Case Study
Muinga N. et al, (2018), JMIR Medical Informatics, 6, e22 - e22
The counterintuitive self-regulated learning behaviours of healthcare providers from low-income settings
Tuti T. et al, (2021), Computers and Education, 166
Designing paper-based records to improve the quality of nursing documentation in hospitals: A scoping review.
Muinga N. et al, (2020), Journal of clinical nursing
Evaluation of Adaptive Feedback in a Smartphone-Based Game on Health Care Providers' Learning Gain: Randomized Controlled Trial.
Tuti T. et al, (2020), Journal of medical Internet research, 22
Learning to represent healthcare providers knowledge of neonatal emergency care
Tuti T. et al, (2020), Proceedings of the Tenth International Conference on Learning Analytics & Knowledge
Digital health Systems in Kenyan Public Hospitals: a mixed-methods survey.
Muinga N. et al, (2020), BMC Med Inform Decis Mak, 20
Data for tracking SDGs: challenges in capturing neonatal data from hospitals in Kenya.
Hagel C. et al, (2020), BMJ global health, 5
Effective coding is key to the development and use of the WHO Essential Diagnostics List.
McKnight J. et al, (2019), The Lancet. Digital health, 1, e387 - e388
Next-generation Virtual and Augmented Reality in Surgical Education: A Narrative Review.
Sheik-Ali S. et al, (2019), Surg Technol Int, 35
Evaluation of Adaptive Feedback in a Smartphone-Based Serious Game on Health Care Providers' Knowledge Gain in Neonatal Emergency Care: Protocol for a Randomized Controlled Trial.
Tuti T. et al, (2019), JMIR research protocols, 8
Using mobile technologies to support the training of community health workers in low-income and middle-income countries: mapping the evidence
Winters N. et al, (2019), BMJ Global Health, 4, e001421 - e001421