Patients
Participants

The AI clinician study is taking place across 2
NHS trusts in 4 Intensive Care Units (ICUs).
We will test the tool in two stages.

What is AI?

AI is also known as Artificial Intelligence. It uses computers to do tasks that are usually done by humans. Computers are faster and can be more accurate than the human brain. They are able to look at lots of information and make choices quickly about the best treatments for patients.

What is sepsis?

Sepsis is the body’s extreme response to an infection and can be life threatening. Doctors treat sepsis patients by giving antibiotics, fluids and/or medications to increase blood pressure (vasopressors). Fluids and vasopressors help to maintain blood flow and prevent organ failure such as kidney failure. However, uncertainty around correct dosing and timing of treatments often leads to poorer outcomes and increased use of intensive care resources.

What is the AI
Clinician study?

We need to find out if doctors agree with the treatment choices made by the AI Clinician tool.. The tool aims to reduce uncertainty around sepsis treatment dosing. This should lead to better outcomes for patients in the long term. The tool uses non-identifiable patient data to suggest  treatment choices, which the doctor will then evaluate. During the first stage of the study, off duty doctors will look at decisions and tell us if they agree with them or if they would use a different dose of treatment. This will tell us how well the tool is working. In the second stage of the study AI’s treatment choices will be assessed at the patients bedside in real-time.  This will show us if doctors are happy to use the tool and if makes the correct treatment choices. These treatment suggestions by the AI will not be used for patients at this stage but we hope that the information collected will help us to design and run large trial to test the tool in a large group of sepsis patients.

The AI Clinician study is approved by the Health Research Authority and the Research Ethics Committee and funded by the National Institute for Health and Care Research (NIHR). For more information on how your anonymised data may be used for this research please see the privacy notice below.

For more information on how your anonymised data may be used for this research please see the privacy notice below.

Download privacy notice here

Contact us

  • aiclinician@imperial.ac.uk
  • +44 (0)20 7594 5906
  • Room 5.03, 5th Floor, Medical School Building Imperial College London St Mary’s Campus Norfolk Place London W2 1PG.

Links

© Imperial College London 2023

This study is funded by the NIHR Health Technology Assessment programme (17/136/02). The views expressed are
those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.