Beyond transcription: the new wave of ambient AI in the NHS

Guest blog by Dr Jon Shaw, AI Director for Healthcare at System C

As we approach one year since the publication of the 10 Year Health Plan, we are starting to see the impact of the shift from analogue to digital. Over the past year, AI adoption has accelerated at pace, moving from isolated pilots to large-scale implementation across many NHS organisations.

Recently, Buckinghamshire Healthcare NHS Trust became the first NHS organisation to sign up to System C’s CareFlow Ambient AI Consultations, and are starting their rolling out from July, transforming outpatient care delivery. This marks a major milestone in Ambient AI’s progress; the embedded technology can capture conversations, as well as automatically generate clinic letters and outcome forms within the clinical workflow.

This signals a shift in the next phase of AI adoption, moving beyond Ambient AI tools only focused on transcription and towards AI that’s deeply embedded in clinical workflows and Electronic Patient Records. The latter can substantially reduce clinicians’ administrative burden, demonstrating how the wide-ranging benefits of embedded ambient AI can be transformative both now and in the future.

While AI transcription has demonstrated clear productivity benefits, it’s not enough to significantly transform and improve healthcare delivery. The greatest value of AI in healthcare will not come from standalone tools, but from systems which can code and create documentation within existing workflows.

Financial and operational impact

Improving administration accuracy and efficiency through embedded ambient AI can have a huge financial and operational impact. Administrative errors cost the NHS hundreds of millions annually, driving billions in wider costs. The BMJ reported that 237 million medication errors alone are made every year in England, costing the NHS upwards of £98 million. While this is just one type of medical error, it shows the scale of avoidable administrative errors in the NHS.

These errors can also cause more serious risks for patients, clinicians and the wider organisation. Administrative errors can threaten patient safety, as they may not be managed correctly without the correct information or they may not receive notifications for appointments. For clinicians, it can lead to delayed or less informed decisions, disrupted disease management and an inflated risk of clinical negligence disputes. And, for the wider organisation, it can lead to the Trust suffering substantial underfunding or a misallocation of funds, due to missed or delayed outcome recording.

These serious risks can be mitigated by embedded ambient AI. It can automatically generate documentation, coding and outcomes more accurately and within the workflow, helping organisations to minimise errors which can have negative clinical, operational and financial implications. These are among the expected benefits for Buckinghamshire Healthcare NHS Trust through its implementation of CareFlow Ambient AI Consultations. The embedded AI system will also be able to initiate follow-up workflows and create documentation using relevant patient information.

Importantly, the impact of ambient AI should not be siloed within digital transformation teams, but operational and financial teams must be brought into the conversation to make a difference to the organisation at scale. We can now look at digital transformation holistically for the whole organisation.

Reducing clinician burnout and cognitive load

Administrative burden remains one of the biggest contributors to burnout across the NHS. Workload pressures continue for NHS staff. In the 2025 NHS Staff Survey, 42% of staff reported feeling unwell as a result of work-related stress. This can be explained by a wider picture of significant administrative burden and cognitive load. A UK study revealed that resident doctors spend four hours of administrative work for each hour of seeing patients. These inefficiencies not only contribute to burnout, but it means that NHS staff are spending less time focused on their patients.

Embedded ambient AI can reduce this administrative burden both during and after the consultation. By automating documentation and tasks within the workflow, it allows clinicians to focus more on their patients, without having to remember many administrative steps throughout their workday. Rather than replacing clinical judgement, embedded AI creates more time and energy for clinicians to consider their decisions and improve patient care.

There are also benefits for the patient, as there is a direct link between the clinician and the patient’s experience. Faster clinic letters, clearer communication and reduced delays all contribute to better care for patients.

Improving tech in outpatient care

The rise of ambient AI highlights a broader issue within NHS digital transformation that outpatient care has historically remained comparatively under-digitised. Digital investment has mainly focused on national programmes such as the Electronic Patient Records and the Federated Data Platform. And, for AI investment, this has mainly focused on diagnostics. It’s clear there’s a gap in funding and investment in digitally improving outpatient care to improve elective recovery.

Although outpatient care remains one of the tech-light areas in the NHS, it creates an opportunity for change. The potential benefits extend beyond productivity; it can improve patient experience and safety, reduce staff burnout, and improve NHS organisations at a financial and operational level.

We’re seeing a new wave of NHS digital transformation in a more embedded, intelligent and integrated way, which has the potential to take the pressure off an overwhelmed system. In the year to come, standalone AI technology will not survive, and we will see NHS organisations pivot away from fragmented, siloed platforms and move towards integrated solutions.

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