Diagnostic AI System for Robot-Assisted A&E Triage

 

This collaboration between the Universities of York and Southampton and the York and Scarborough Teaching Hospitals aims to prototype a robot-assisted A&E triage solution for reducing patient waiting time and doctor workload.

The project will:

  • co-define the requirements for this solution with medics and end-users
  • develop and evaluate a prototype robotic-assisted A&E triage system
  • devise assurance for the resilient operation of the prototype

 

This project is looking for volunteers

You can help transform the Accident and Emergency (A&E) Triaging Experience. 

Are you an adult over 18 with experience in UK A&E services? 

We cordially invite you to participate in our groundbreaking research study to help shape the future of emergency room care.   More information here

 

Contact Us
Project Team

Meet Our Project Team

Dr Radu Calinescu

Radu Calinescu

Professor of Computer Science, TAS Resilience Node PI, University of York

Lead contact

Ol'tunde Ashaolu

Consultant Emergency Medicine & Surgery, York and Scarborough Teaching Hospitals NHS Foundation Trust

Co-Investigator

Ibrahim Habli

Reader in Safety-Critical Systems, TAS Resilience Node Co-I and TAS Responsibility project PI, University of York

Co-Investigator

Jordan Hamilton

Postdoctoral Research Associate, University of York

Researcher

Victoria Hodge

Senior Research Fellow, University of York

Senior Research Engineer

William Lyons

Research Associate, University of York

Researcher

Chiara Picardi

Postdoctoral Research Associate, University of York

Researcher Co-Investigator

Katie Plant

Associate Professor of Human Factors Engineering, TAS Hub and Resilience Node Co-I, University of Southampton

Co-Investigator

Bev Townsend

Postdoctoral Research Associate, University of York

Researcher Co-Investigator
Partners

Our Project Partners