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chris-paton-photo-bio-2020-1xSenior Lecturer

Dr Chris Paton is the course director for the new online Digital Health postgraduate programmes (PGDipDigHeal and PGCertDigHeal) at the University of Otago and the head of the Global Heath Informatics research group at the University of Oxford, working on research projects based in Kenya and Vietnam.

Room 3.38, Otago Business School
Tel +64 3 479 8423


Following his training as a medical doctor in the UK, he moved into Clinical Informatics and worked as a Clinical Lecturer at Otago and as a Senior Research Fellow at the National Institute for Health Innovation in New Zealand before moving back 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 Reuben 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. In Vietnam, Dr Paton is a co-investigator on a Wellcome Trust Innovation Flagship based in Ho Chi Minh City that will develop and implement new AI-based monitoring devices in intensive care units (ICUs) in South-East Asia.

Dr Paton has served as a digital health consultant the New Zealand Government and the Pathways for Prosperity Commission in the UK. He co-founded and chaired the International Medical Informatics Association (IMIA) social media working group and is currently 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 and the Research Council of Norway.


  • DIGH701 Principles of Digital Health and Informatics
  • DIGH703 Digital Health Technologies and Systems


Penzias, R. E., Bohne, C., Ngwala, S. K., Zimba, E., Lufesi, N., Rashid, E., … Paton, C., … and with the Health Facility Assessment Technical Content Reviewers, Co-design Group, Health Facility Assessment Data Collection Learning Group. (2024). Health facility assessment of small and sick newborn care in low- and middle-income countries: Systematic tool development and operationalisation with NEST360 and UNICEF. BMC Pediatrics, 23, 655. doi: 10.1186/s12887-023-04495-z

Paton, C., Amarakoon, P., Braa, J., Kobayashi, S., Marcelo, A., Kane, T., … Hannan, T. (2024). Open source software in healthcare: International case series from the IMIA Open Source Working Group. In J. Bichel-Findlay, P. Otero, P. Scott & E. Huesing (Eds.), Proceedings of the 19th World Congress on Medical and Health Informatics: MEDINFO 2023: The Future is Accessible: Studies in Health Technology and Informatics (Vol. 310). (pp. 1266-1270). Amsterdam, The Netherlands: IOS Press. doi: 10.3233/shti231168

Grewal, G., Fuller, S. S., Rababeh, A., Maina, M., English, M., Paton, C., & Papoutsi, C. (2024). Scoping review of interventions to improve continuity of postdischarge care for newborns in LMICs. BMJ Global Health, 9, e012894. doi: 10.1136/bmjgh-2023-012894

Cross, J. H., Bohne, C., Ngwala, S. K., Shabani, J., Wainaina, J., Dosunmu, O., … Paton, C., … and with NEST360 Neonatal Inpatient Dataset Learning Group. (2023). Neonatal inpatient dataset for small and sick newborn care in low- and middle-income countries: Systematic development and multi-country operationalisation with NEST360. BMC Pediatrics, 23(Suppl. 2), 567. doi: 10.1186/s12887-023-04341-2

Muinga, N., Tuti, T., Mwaniki, P., Gicheha, E., Paton, C., . . ., & English, M. (2023). Evaluating the documentation of vital signs following implementation of a new comprehensive newborn monitoring chart in 19 hospitals in Kenya: A time series analysis. PLOS Global Public Health, 3(11), e0002440. doi: 10.1371/journal.pgph.0002440

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