How Ambient AI Is Expanding at Leeds General Infirmary 2026

Key Points

• Significant Time Savings: A three-month trial of ambient voice technology in the ambulatory care area at Leeds General Infirmary reported saving 13 minutes per consultation and cutting documentation time by 61 per cent.
• Flawless Safety Record: No serious safety incidents were reported during the initial three-month pilot.
• Phased Expansion Planned: Leeds Teaching Hospitals NHS Trust has outlined plans to expand the ambient AI tool to emergency nurses across majors, minors, and paediatrics.
• Clinical Leadership: The clinical trial was spearheaded by Dr Sundararaj Manou alongside the emergency department, research, and innovation teams.
• Operational Oversight: Chief Operating Officer Tim Hiles is overseeing the broader organisational structure, drawing on previous operational experience across patient services, urgent care, and the COVID-19 vaccination rollout.
• Integration Challenges: Broader implementation must maintain initial efficiency gains across varied clinical workflows, ensure robust information governance, and maintain patient confidence.

LEEDS (The Leeds Times) October 28, 2026 — A three-month pilot scheme evaluated by clinical teams at Leeds General Infirmary has demonstrated that ambient voice artificial intelligence (AI) technology saved 13 minutes per consultation and reduced total documentation time by 61 per cent in the hospital’s ambulatory care area, all while recording zero serious safety incidents. Following these findings, Leeds Teaching Hospitals NHS Trust faces the operational task of expanding this digital assistant beyond its trial setting into everyday emergency department routines.

How Was the Ambient AI Trial Conducted at Leeds General Infirmary?

The clinical pilot was conducted in the ambulatory care section of the emergency department at Leeds General Infirmary. The research and evaluation were led by Dr Sundararaj Manou in collaboration with emergency department personnel and the Trust’s research and innovation teams.

The primary objective of the trial was to determine whether ambient listening software could securely record clinician-patient interactions and generate accurate administrative notes in real time. By reducing manual data entry, the initiative sought to allow healthcare professionals to spend less time typing on computers and more time focusing directly on patient care and urgent clinical duties.

Over the course of the three-month evaluation, the project achieved a 61 per cent reduction in administrative documentation time, saving an average of 13 minutes per consultation, without generating any serious safety concerns.

How Will Leeds Teaching Hospitals NHS Trust Expand the Technology Across Emergency Care?

Following the pilot, Leeds Teaching Hospitals NHS Trust outlined a phased rollout designed to introduce the ambient AI tool to a broader cohort of frontline staff. The expansion plan encompasses emergency nurses and extends to multiple distinct areas within emergency care, including majors, minors, and paediatric units.

The operational strategy is being led by Tim Hiles, Chief Operating Officer for Leeds Teaching Hospitals NHS Trust. While Dr Manou and the clinical teams continue to oversee the evaluation of the technology’s performance, Hiles holds executive responsibility for operational delivery across the Trust, ensuring that digital tools fit into broader hospital workflows.

Expanding the technology presents practical operational questions. Staff require tailored training, and new software must be integrated into established routines without complicating existing procedures. The Trust aims to test whether the time-saving benefits recorded in ambulatory care can be replicated across fast-paced environments like majors and specialist settings like paediatric emergency care.

What Organisational Experience Drives the Trust’s Operational Strategy?

Tim Hiles brings background context in NHS operational delivery to the rollout. He began his healthcare career in patient services as a Complaints Officer at a large London NHS trust, eventually managing the complaints service and participating in the establishment of one of the UK’s early Patient Advice and Liaison Service (PALS) teams.

Hiles joined Leeds Teaching Hospitals NHS Trust in 2013 as General Manager for Urgent Care. He subsequently held leadership roles managing Abdominal Medicine and Surgery, served as Director of Operations for the Leeds Vaccination Centre during the COVID-19 vaccination campaign, and worked as Deputy Chief Operating Officer prior to assuming his current role.

The coordination required during the COVID-19 vaccination rollout highlights the operational demands of introducing new processes across large healthcare systems. While ambient AI represents a different type of clinical intervention, its successful adoption across a trust relies on alignment between clinical teams, administrative systems, and daily hospital workflows.

How Are Patient Governance and Public Trust Being Addressed?

The integration of ambient voice tools introduces key questions regarding information governance, consent, and patient privacy. Trust Board minutes recorded regular structured meetings between the Complaints and Chief Operating Officer teams to monitor patient feedback and maintain connections between frontline services and patient experiences.

As ambient AI moves into routine clinical encounters, patients may seek clarity regarding when recording technology is active, how transcriptions and medical data are stored, and what safeguards protect confidential medical histories.

Addressing these questions requires clear communication at the point of care alongside accessible mechanisms for patients to raise concerns or opt out.

Additionally, discussions held during Trust Board meetings addressed waiting-list recovery plans and national standards for reducing patient wait times. While faster documentation could potentially assist clinicians in managing their workload, operational leaders note that time saved during consultations does not automatically translate into shorter waiting queues.

The overall impact on patient flow depends on how clinicians utilise released time, whether clinical handovers improve, and whether efficiency gains can be measured consistently across different hospital departments.

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Background of Ambient AI in the NHS

Ambient voice technology in healthcare refers to artificial intelligence software designed to listen to conversations between clinicians and patients, filter relevant clinical information, and automatically generate draft notes for electronic health record (EHR) systems. Historically, clinical documentation has represented a significant administrative burden for NHS staff, with doctors and emergency nurses spending a substantial portion of their shifts completing computerized paperwork.

In recent years, NHS England and regional trusts have increasingly explored digital solutions to reduce clinician burnout and increase operational capacity. Early pilot programs across various NHS trusts focused primarily on small-scale trials within primary care (GP surgeries) or controlled outpatient clinics.

The pilot at Leeds General Infirmary represents one of the formal evaluations of ambient voice tools within an emergency department setting, where high patient turnover, unpredictable clinical demands, and diverse case complexities present distinct operational challenges.

Prediction: How This Development Will Affect NHS Staff and Patients

The planned expansion of ambient AI across Leeds Teaching Hospitals NHS Trust is expected to impact both healthcare professionals and patients across emergency care settings:

• Impact on Healthcare Staff: If the phased expansion successfully replicates the 61 per cent documentation time reduction observed in the pilot, emergency nurses and physicians across majors, minors, and paediatric wards will regain operational hours previously lost to manual data entry. This reduction in administrative workload could reduce cognitive fatigue, lower rates of burnout, and allow staff to dedicate more direct time to patient assessments and complex clinical tasks. However, if the software encounters difficulties with complex medical terminology, noisy emergency environments, or diverse patient accents, clinicians may face additional workloads correcting inaccurate notes, which could hinder widespread adoption.
• Impact on Patients: For patients visiting emergency departments, the primary potential benefit is receiving more uninterrupted face-to-face attention from clinicians during consultations. Rather than observing healthcare staff typing into computer terminals, patients may experience more interactive communication. However, the adoption of ambient recording tools could also prompt concerns regarding data privacy and consent. The overall success of the initiative will depend on whether the Trust maintains transparent communication regarding data safeguards, ensuring that technological efficiency enhances rather than diminishes patient trust in hospital care.