{
  "abstract": "Background UK Emergency departments (EDs) are operating under significant pressures – rising patient demand and complexity, limited capacity, and workforce shortages. A significant contributor is the growing documentation workload. Solutions that can alleviate this administrative burden without compromising care quality and ED efficiency are needed.Methods This NHS-led service evaluation assessed ambient voice technology (AVT) in a tertiary ED in London (between November 2024 and April 2025). Three performance indicators: patients seen per shift, time to first documentation, and time from clinician assignment to patient readiness, were assessed. Comparison was made between baseline data from the preceding three months. Findings were triangulated with economic modelling by the York Health Economics Consortium.Results 4,664 patient encounters were analysed across 24 clinicians. With AVT there was a 13.4% increase in patients seen per shift (p=0·00018); 51.7% reduction in time to first documentation (p=0·0067); and 7.5% reduction in time to clinical readiness (p=0·0024). Clinicians reported improved experience, reduced cognitive load, and greater efficiency. Independent modelling showed if one additional patient was seen per shift per clinician, this equates to £270.93 added capacity per day. Scaling nationally (11,055 ED clinicians in England), AVT use could yield 9,259 more attendances each day, saving £176 million in documentation time and unlocking £658 million in capacity annually.Interpretation AVT significantly improves emergency care productivity, documentation efficiency, and clinician experience. The technology supports NHS efforts to address demand, reduce waiting times, and enhance staff wellbeing. Strategic, system-wide deployment is required to maximise these benefits.Acknowledgements for Funding or Support This study was funded by NHS England (London) Frontline Digitisation. The AVT tool was provided free of charge. The GOSH DRIVE Unit receives support from the NIHR GOSH Biomedical Research Centre and the NIHR Healthtech Research Centre for Paediatrics and Child Health. GOSH has entered a collaborative partnership with Tortus AI.",
  "authors": [
    {
      "affiliations": [
        "Great Ormond Street Hospital for Children NHS Foundation Trust, UK"
      ],
      "name": "Shankar Sridharan"
    },
    {
      "affiliations": [
        "St. George’s University Hospital, UK"
      ],
      "name": "Ahmed Mahdi"
    },
    {
      "affiliations": [
        "Great Ormond Street Hospital for Children NHS Foundation Trust, UK"
      ],
      "name": "Jo Wray"
    },
    {
      "affiliations": [
        "Great Ormond Street Hospital for Children NHS Foundation Trust, UK"
      ],
      "name": "Geralyn Oldham"
    },
    {
      "affiliations": [
        "St. George’s University Hospital, UK"
      ],
      "name": "Eman Mohammed"
    },
    {
      "affiliations": [
        "Great Ormond Street Hospital for Children NHS Foundation Trust, UK"
      ],
      "name": "Paul Gough"
    },
    {
      "affiliations": [
        "Great Ormond Street Hospital for Children NHS Foundation Trust, UK"
      ],
      "name": "Maya Tomlinson"
    },
    {
      "affiliations": [
        "Great Ormond Street Hospital for Children NHS Foundation Trust, UK"
      ],
      "name": "Nick James"
    },
    {
      "affiliations": [
        "Great Ormond Street Hospital for Children NHS Foundation Trust, UK"
      ],
      "name": "Alastair Hill"
    },
    {
      "affiliations": [
        "Great Ormond Street Hospital for Children NHS Foundation Trust, UK"
      ],
      "name": "Eleanor Sullivan"
    },
    {
      "affiliations": [
        "Great Ormond Street Hospital for Children NHS Foundation Trust, UK"
      ],
      "name": "Stephen Mathew"
    },
    {
      "affiliations": [
        "Great Ormond Street Hospital for Children NHS Foundation Trust, UK"
      ],
      "name": "Robert Robinson"
    },
    {
      "affiliations": [
        "Tortus, UK"
      ],
      "name": "Dom Pimenta"
    },
    {
      "affiliations": [
        "Tortus, UK"
      ],
      "name": "Jasmine Balloch"
    },
    {
      "affiliations": [
        "Great Ormond Street Hospital for Children NHS Foundation Trust, UK"
      ],
      "name": "Andrew Taylor"
    }
  ],
  "title": "102 Unlocking clinical time in emergency departments with ambient voice technology: A scientific evaluation and economic impact assessment of AI emergency care productivity and capacity",
  "uid": "d35e5dd0-b757-500a-8c4e-ea476b1cee46"
}