Hospital Simulator
A 3D interactive hospital simulator (digital twin) with AI agents representing patients and healthcare staff used for health system research and healthcare worker training.
BMBS BMedSci MBA DPhil FBCS
Contact: chris.paton@auckland.ac.nz
Dr Chris Paton is a medical doctor, software developer and researcher in digital health and AI. He is the Editor-in-Chief of the BMJ Digital Health & AI journal and an Associate Professor of Health AI at the Liggins Institute at the University of Auckland. He holds an Executive MBA from the University of Auckland and a DPhil in Digital Health Technologies from the University of Oxford. He was elected as a Founding Fellow of Reuben College, Oxford, and he is currently a Fellow of the British Computer Society. He is the author of the Textbook of Digital Health (open access) and over 100 peer-reviewed publications.
A 3D interactive hospital simulator (digital twin) with AI agents representing patients and healthcare staff used for health system research and healthcare worker training.
A novel chatbot interface for on-device secure AI clinical decision support systems designed for low-resource settings.
In development
A virtual reality simulation system for training healthcare workers in Africa.
An online learning portal for pre-clinical medical students utilising 3D models, spaced repetition and deliberate practice for anatomy and physiology.
In development
A web-based EHR simulator for clinical training and user interface design experiments.
A simulator for students learning how to use the Linux Operating System (web and iOS app).
A free online 3D sailboat simulator - learn to sail on Auckland’s Waitemata Harbour.
A free online 3D architectural design system. Learn about ancient architectural techniques and design your house in a classical style!

How NHS digital systems could be improved through modernised user interface guidelines and quantitative usability modelling.

Developed for the “Introduction to Digital Health” course at the University of Auckland, covering health systems, electronic health records, mHealth, telehealth, clinical decision support and health data infrastructure.

Editorial on why clinicians need to appraise the evidence for AI tools, including data contamination in large language models and patients’ concerns about consent and privacy.

Predictive modelling of human-computer interaction and its use in developing and evaluating user interfaces for systems such as electronic health records.

AI for global health: opportunities, risks, and future developments.

Digital twins and AI simulation in healthcare.



A seminar on getting started with the Linux command line for Claude Code users.

With Professor Justin O’Sullivan and Dr Roan Zaied.


With Dr Pratap Kumar.



© Dr Chris Paton