Artificial intelligence is increasingly being introduced into frontline healthcare, and one of the most notable recent developments is the use of “ambient voice technology” (AVT) in NHS consultations.
At Royal Devon and Exeter NHS Foundation Trust, AVT has been piloted in outpatient settings. The system listens to clinician–patient consultations and automatically generates clinical notes and correspondence, which are then reviewed and approved by the clinician. Early reports suggest that more than 600 consultations have already been completed using the technology, with an estimated saving of around three minutes per appointment.
On the face of it, the benefits are clear. Across a large NHS Trust, even small-time savings can translate into significant capacity gains. It is anticipated that full rollout could create up to 15,000 additional appointments each year, potentially reducing waiting times and improving access to care.
However, the introduction of AI into clinical decision-making and record-keeping raises important questions about patient safety, accountability, and risk.
The Potential Benefits for Patient Care
One of the key advantages of AVT is that it allows clinicians to focus more directly on their patients. Rather than dividing attention between the patient and a computer screen, doctors can engage more fully during consultations.
Improved communication can, in theory, lead to:
- Better history-taking
- More accurate diagnosis
- Increased patient confidence and satisfaction
There is also a broader systemic benefit. Increased efficiency may reduce delays in diagnosis and treatment, which are often central issues in medical negligence claims, particularly in cases involving cancer, cardiac conditions, or neurological deterioration.
The Legal and Clinical Risks
Despite these advantages, the use of AI-generated clinical documentation introduces several potential risks:
- Accuracy of Clinical Records - Clinical records are fundamental in both patient care and litigation. If AVT systems misinterpret speech, particularly in cases involving:
- complex medical terminology
- strong regional or international accents
- background noise or interruptions
there is a risk that the resulting notes may be incomplete or inaccurate if they are not checked properly by the clinician.
Even subtle errors can have serious consequences. A missed symptom, incorrect timeline, or mis-recorded clinical finding could directly impact diagnosis and treatment decisions.
From a legal standpoint, inaccurate records can compromise patient safety and create evidential difficulties for all parties.
- Over-reliance on Technology - There is a foreseeable risk that clinicians may begin to rely too heavily on AI-generated notes, particularly in high-pressure clinical environments.
While safeguards require clinicians to review and approve the final documentation, the reality of time pressures may mean that:
- Errors are not always identified
- Corrections are not made thoroughly
- Important nuances are lost
In a medical negligence claim, the central question will remain whether the clinician met the standard of a reasonably competent practitioner. Reliance on AI will not lower that standard.
- Responsibility and Accountability - A key legal issue is where responsibility lies when errors occur.
Even though the technology is developed externally, the clinician retains ultimate responsibility for both the accuracy of the record and the decision made based on that record.
This means that, in practice that the presence of AI may complicate, but not remove liability.
There may also be future arguments around system failures, procurement decisions, and institutional responsibility, particularly if widespread issues emerge.
- Data Protection and Consent - Recording consultations introduces additional considerations around:
- Patient consent
- Data security
- Storage and use of sensitive health information
Any failure in these areas could give rise not only to regulatory consequences but also to potential claims linked to misuse of personal data.
A Shift in the Landscape of Medical Negligence Claims
The introduction of AI into routine clinical practice represents a significant shift. While the core legal principles of medical negligence law remain unchanged, the factual matrix of claims is evolving.
Will we start encountering cases involving:
- Disputes over AI-generated records?
- Questions about the adequacy of clinician review?
- Expert evidence addressing both clinical practice and technological systems?
In some cases, the presence of a detailed AI-generated transcript may assist claimants by providing a more complete record of what was said during a consultation. No longer will clinicians be able to say “it’s my usual practice to say x, y, z” when something is not documented in the records. In others, it may create new areas of dispute where a clinician may contend that relevant advice was given but not properly described.
Striking the Right Balance
There is no doubt that AI has the potential to improve efficiency and enhance patient interaction. However, its implementation must be carefully managed to ensure that gains in productivity do not come at the expense of patient safety.
From a medical negligence perspective, the key points are clear:
- AI is a tool, not a substitute for clinical judgment.
- Clinicians must remain vigilant in reviewing and verifying records.
- NHS organisations must ensure robust safeguards, training, and oversight.
How This Affects Patients
For patients, the introduction of AI into consultations should not change the standard of care they are entitled to expect.
If anything goes wrong, the same principles apply. Patients may still be entitled to bring a medical negligence claim where:
- There has been a failure to provide reasonable care, and
- That failure has caused avoidable harm.
Final Thoughts
AI-driven tools like ambient voice technology represent an exciting development in modern healthcare. However, like any innovation, they bring both opportunity and risk.
As adoption increases across the NHS, careful scrutiny will be essential to ensure that patient care remains safe, accurate, and accountable.
For those navigating concerns about treatment or outcomes, understanding how these technologies interact with established standards of care will become increasingly important.
Quote from Hannah Carr, Legal Director and Specialist Medical Negligence Solicitor from MDS, said “While AI has the potential to enhance patient care by improving efficiency and allowing more meaningful clinician–patient interaction, it also introduces new risks around accuracy and accountability. It is essential that patients are fully informed about how these technologies are used in their care, and reassured that clinical responsibility always remains with the treating clinician.”
