DAISY: Diagnostic AI System for robotic and automated triage and asses

  • Research type

    Research Study

  • Full title

    Feasibility study to demonstrate patient acceptability and system performance of DAISY in the Emergency Department.

  • IRAS ID

    343550

  • Contact name

    Ol’Tunde Ashaolu

  • Contact email

    tunde.ashaolu@nhs.net

  • Sponsor organisation

    York and Scarborough Teaching Hospitals NHS Foundation Trust

  • Duration of Study in the UK

    0 years, 5 months, 31 days

  • Research summary

    The number of patients arriving at Emergency Departments (EDs) in England increased by 21% between 2010 and 2019. Combined with international healthcare staff shortages this has resulted in overcrowded EDs and long patient waiting times. As such, solutions must be explored to alleviate the strain on medical professionals and systems so that they can optimise their time, and increase the throughput in EDs for the benefit of patients. The use of digital technology to collect, organise and perform initial assessment of patients without the need to interact with healthcare staff, theoretically frees staff from data collection, reducing waiting times and the door-to-treatment times. DAISY is a humanoid Robot that uses digital technology to perform these ‘front-door’ activities. This study will investigate patients’ acceptability of the DAISY system as it performs a Triage and Assessment process on those patients arriving in ED to be seen for a medical problem.

    All patients over the age of 18, who are not considered too unwell will be approached to take part in the study. Patients attending the ED department at Scarborough General Hospital may be identified by the reception staff after which they undergo an initial screening by a member of the research team who consents the patient for the study according to the protocol. The participants will then interact with DAISY to complete a consultation after which an anonymised report will be generated. The participant will then return to their original position in the traditional triage queue without an advantage or disadvantage in the ‘time-to-see’ a clinician. Patients will be asked to complete questionnaire about their satisfaction and engagement and a patient engagement questionnaire will be completed by a member of the research team.

  • REC name

    Yorkshire & The Humber - Bradford Leeds Research Ethics Committee

  • REC reference

    24/YH/0138

  • Date of REC Opinion

    26 Jun 2024

  • REC opinion

    Favourable Opinion