AVT in healthcare: a complete guide to AI clinical documentation for NHS and GP teams

Clinical documentation is essential to safe, joined-up patient care, but producing accurate notes, letters, referrals and other records places considerable demands on healthcare teams.

During a consultation, clinicians may need to divide their attention between the patient, the computer and the medical record. Further time may then be required to complete notes and initiate follow-up actions.

Ambient Voice Technology (AVT) offers a different approach. With the knowledge of those taking part, it captures the natural clinical conversation and uses healthcare-specific speech recognition and Artificial Intelligence (AI) to turn relevant information into structured documentation for the clinician to review. This is one example of how AI clinical documentation can support healthcare teams without removing clinician oversight.

This guide explains what AVT is, how it works, how it differs from medical dictation and speech recognition, and how it may support NHS organisations, GP practices and wider healthcare teams.

Contents

1. Why clinical documentation needs to change
2. What is Ambient Voice Technology (AVT) in healthcare?
3. How does AVT work?
4. AVT, medical dictation and speech recognition compared
5. How AVT can support NHS clinicians and GP practices
6. Potential benefits
7. Risks and limitations
8. NHS governance, data protection and clinical safety
9. Implementation
10. Choosing an AVT solution
11. AIVA, powered by Corti’s AVT
12. The future of AVT in healthcare
13. Frequently asked questions

1. Why clinical documentation needs to change

High-quality medical documentation protects patients, supports clinical decisions and helps information move safely between teams. It provides a record of what was discussed, assessed and agreed and may inform treatment, referrals and follow-up care.

The challenge is not that documentation is unnecessary; it is that producing it can create a significant administrative burden.

A clinician may need to record the patient’s history, examination findings, assessment and treatment plan; update the Electronic Patient Record (EPR); prepare a referral or letter; complete forms; and assign follow-up actions.

When these activities take place during an appointment, the patient may feel that the clinician is paying more attention to the screen than to them. When documentation is deferred, clinicians can face unfinished notes and correspondence at the end of the working day.

Digital dictation, transcription, medical speech recognition software and document workflow systems already help many healthcare organisations manage this process. Medical dictation software and medical transcription software also remain valuable for workflows where deliberate dictation and transcription are the most appropriate approach.

Ambient voice technology in healthcare aims to reduce the divide between the consultation and the creation of the clinical record. Rather than requiring the clinician to reconstruct the encounter afterwards, it can generate an initial record from the conversation itself.

The purpose is not to replace clinical judgement, but to reduce manual effort by providing structured documentation for the clinician to check, amend and approve.

Learn more about Voice Technologies’ healthcare solutions.

2. What is Ambient Voice Technology (AVT) in healthcare?

AVT is healthcare AI that captures the natural conversation between the clinician and patient, and converts it into structured clinical documentation for review and approval.

Ambient voice technology combines audio capture, speech recognition and healthcare-specific artificial intelligence.

With the knowledge and agreement of the participants, the system captures the clinical conversation, converts speech into text and identifies information that may be relevant to the medical record.

Depending on the solution and its approved use, it may:

• distinguish between speakers
• recognise clinical terminology
• interpret conversational context
• organise information into a clinical structure
• generate an initial consultation note
• create supporting documents
• initiate approved workflow actions.

The terms “ambient AI”, “ambient listening”, “AI medical scribe” and “AI scribe” are sometimes used interchangeably with AVT. You may also see these products described collectively as AI scribes. However, the capabilities of individual products can vary.

Some tools primarily generate a consultation summary. Others create AI clinical notes or broader AI clinical documentation and connect information from the consultation with a wider documentation workflow involving forms, letters, referrals, approval and routing.

This distinction is important because the process rarely ends when the initial note is produced. Information may still need to be reviewed, transferred to the EPR, used in correspondence or passed to another team.

Healthcare organisations should therefore assess the complete journey from the clinical conversation to the approved record and subsequent action, rather than viewing ambient voice technology only as automated transcription.

Explore document workflow software from Voice Technologies.

3. How does AVT work?

Captures conversation > Converts speech to text > Interprets clinical context > Produces documents > Reviewed by clinician

The precise process varies between products, but most AVT follows five stages:

The consultation is captured

Audio is captured through an appropriate microphone, clinical workstation or a compatible device. The clinician usually starts the approved application deliberately.

Organisations must establish how patients will be informed, what choices they have and what happens when someone does not wish the technology to be used.

Microphone quality, room acoustics, background noise and the number of speakers can all affect performance.

Speech is converted into text

Speech recognition converts the audio into a transcript.

A healthcare-focused system should recognise clinical terminology, medication names and specialty-specific language. It should also be tested across the accents, voices and environments in which it will be used.

Unlike conventional speech recognition, the clinician does not necessarily dictate a completed document or speak punctuation commands. The system works from the natural conversation.

Clinical context is interpreted

Healthcare-trained AI analyses the transcript and identifies clinically relevant information.

This requires more than recognising individual words. The system must distinguish between confirmed symptoms, questions, historic conditions, hypothetical examples and negated statements.

For example, “the patient has chest pain”, “the patient denies chest pain” and “seek help if chest pain develops” have very different meanings.

Structured documentation is produced

The system may organise information into fields such as:

• presenting complaint
• relevant history
• examination findings
• assessment
• treatment plan
• safety-netting
• follow-up actions
• referral information.

More advanced implementations may also prepare forms, referral letters or other supporting documents. These outputs can include AI clinical notes tailored to the organisation’s approved templates.

The clinician reviews and approves the output

The generated documentation is a draft. The clinician must be able to correct inaccuracies, add missing context, remove irrelevant information and approve the final version.

After approval, the information may move into the EPR, document workflow, clinical form or referral process.

AIVA (AI Voice Assistant), for example, adds real-time capture and AI capabilities to Voice Technologies’ WinVoice and FormStream applications rather than operating only as an isolated transcription tool.

Learn more about healthcare speech recognition solutions.

4. What is the difference between AVT, medical dictation and speech recognition?

Ambient voice technology is one of several technologies used to produce and manage clinical documentation. It does not make established approaches obsolete.

Understanding the distinction between AVT and medical speech recognition software is particularly important. One captures the natural consultation, while the other converts deliberate clinical dictation into text. Medical dictation software supports another distinct workflow by allowing clinicians to record a deliberate dictation for later transcription or processing.

Digital dictation remains useful for detailed narrative reports and specialist documents. Medical speech recognition can be effective for letters, reports and notes that the clinician wants to dictate directly.

Ambient voice technology is designed around the consultation itself, making it potentially useful where maintaining eye contact and conversational flow is important.

An organisation may therefore use AVT for consultations, speech recognition for letters and reports, dictation for specialist narrative documents, and workflow software to route and approve the outputs.

The aim is not to select one technology for every task, but to match the method to the clinical process.

Read more about medical dictation and how it can help.

Find out more about speech recognition software.

5. How can AVT support NHS clinicians and GP practices?

AVT is designed to support documentation in primary care, hospitals, outpatient departments, community services and specialist settings.

Its suitability will depend on the approved use of the product, the clinical environment and the organisation’s governance and integration arrangements.

Clinical consultations

During a consultation, ambient voice technology can generate an initial note while the clinician focuses on the patient.

This may help the clinician maintain eye contact, observe non-verbal cues and ask follow-up questions without repeatedly interrupting the conversation to type.

The output is then reviewed before it is added to the clinical record.

GP and primary care documentation

A GP appointment can generate several documentation requirements. AVT can help prepare:

• consultation notes
• patient summaries
• referral information
• follow-up instructions
• patient letters
• care-plan updates
• administrative actions
• any other relevant documentation.

The greatest benefit may be achieved when approved information can be reused safely across these processes.

For example, details from the consultation note may also inform a referral or structured form, reducing the need to enter the same information more than once.

Hospital and outpatient settings

Potential users include consultants, nurses, allied health professionals, therapists and Multi-Disciplinary Teams (MDTs).

Different specialties will require different templates. An outpatient consultation, therapy assessment and multidisciplinary meeting do not produce identical documentation.

A successful implementation must therefore reflect the language, structure and working practices of the relevant clinical service.

Wider clinical workflows

AVT-generated information may also move into:

• structured forms
• clinical correspondence
• referrals
• discharge documentation
• document approval
• care coordination
• downstream administrative processes.

This wider perspective can differentiate an integrated documentation workflow solution from a standalone AI scribe. It can also distinguish broader ambient voice technology from AI scribes that focus mainly on producing a consultation note.

If a tool saves time producing the first note but introduces additional copying or administrative work elsewhere, the overall process may not improve. Connecting the approved information with existing workflows can reduce duplication across the full documentation journey.

Learn more about WinVoice document workflow solutions.

6. What are the potential benefits of AVT?

The potential benefits of AVT should be treated as outcomes to evaluate, rather than guaranteed results.

More attention on the patient

By creating an initial note from the spoken interaction, AVT can reduce the need to type throughout the consultation and help make the computer less dominant.

Reduced manual documentation

Approved information may be reused across notes, forms, letters and referrals, reducing duplicated data entry.

More consistent clinical records

Structured templates can make key information easier to locate and reduce variation between similar documents.

Reduced cognitive load

Clinicians may spend less of the consultation trying to remember information for later documentation. They must still review the final output carefully.

Faster downstream workflows

Timely, structured information may support quicker referral, correspondence, approval and follow-up processes.

Better use of existing capacity

Reducing avoidable administration may release more clinical and administrative time. However, organisations should avoid assuming that AVT will automatically increase appointment numbers or remove workload pressures.

Benefits will depend on accuracy, integration, training, specialty and the working environment. They should therefore be measured against an agreed baseline during a pilot.

7. What are the risks and limitations of AVT in healthcare?

AVT supports documentation, but it cannot remove the professional responsibility attached to the clinical record.

Accuracy and missing context

The system may mishear terminology, confuse speakers or omit information. Performance can be affected by overlapping speech, unfamiliar medication names, accents, speech impairments and background noise.

A polished note may still contain a clinically important error.

AI-generated errors

Generative AI may add information that was not discussed, remove an important qualification or treat a possible diagnosis as confirmed.

The clinician must therefore retain control of the final record.

Overreliance on automation

When a tool performs well most of the time, users may begin to review its output less carefully. Training, monitoring and clear approval processes are required to reduce this risk.

Patient communication

Some patients may be uncomfortable with technology capturing the conversation or may change what they say when it is present.

Organisations should explain the process clearly and provide an alternative when a patient does not wish AVT to be used.

Audio and environmental quality

Room layout, microphone position, masks, interruptions and multiple speakers may affect accuracy.

Workflow mismatch

Poor integration can create copying, duplicate records, extra logins and uncertainty over which version is authoritative.

Healthcare organisations must therefore evaluate the whole workflow, not only the quality of the initial note.

8. NHS governance, data protection and clinical safety considerations

Please note: This section provides a general overview of key governance, data protection and clinical safety considerations. It does not constitute legal, regulatory or clinical safety advice. Requirements may vary between NHS organisations and across England, Scotland, Wales and Northern Ireland. Organisations should seek advice from their own information governance, data protection, clinical safety, cybersecurity and legal specialists before implementing ambient voice technology.

Ambient voice technology in the NHS involves sensitive health information and requires input from clinical, information governance, data protection, cybersecurity, procurement and operational teams.

Organisations should identify the data controller and processor and understand:

• what personal data is processed
• whether audio or transcripts are retained
• where information is hosted
• who can access it
• whether data is used to train AI models
• whether it is transferred outside the UK
• what happens when the contract ends.

The lawful basis for processing and the conditions applying to special-category health data should be documented.

A Data Protection Impact Assessment should consider the complete lifecycle of the information, including capture, transmission, processing, storage, integration, retention and deletion.

Patients should receive clear information explaining when AVT is used, what it captures, why it is being used, whether audio is retained and how the resulting documentation will be reviewed. The organisation should agree its approach to patient consent or objection with its information governance and legal advisers.

For England, NHS organisations should also review NHS England’s guidance on the use of AI-enabled ambient scribing when considering ambient voice technology.

Appropriate security controls may include encryption, role-based access, multifactor authentication, audit trails, vulnerability management and incident-response procedures.

Clinical risks must also be assessed and monitored. In England, relevant requirements may include DCB0129 and DCB0160, alongside the Data Security and Protection Toolkit and local supplier-assurance processes. Organisations should check the requirements applying within their UK nation and healthcare setting.

Clinical safety work may include appointing a Clinical Safety Officer, reviewing supplier documentation, maintaining a hazard log and defining incident-reporting routes.

Human review remains essential. Unapproved content should not automatically become part of the clinical record or initiate potentially harmful actions. This is particularly important where AI clinical documentation could feed downstream systems or workflows.

Supplier due diligence should cover clinical safety, data protection, cybersecurity, hosting, medical-device status where relevant, interoperability, service availability and ongoing model updates.

Quality monitoring should continue after launch, including accuracy, omissions, correction rates, incidents, integration failures and patient feedback.

Learn more about Voice Technologies’ partnership with Corti.

9. How to implement AVT in an NHS or GP environment

A phased implementation is generally safer and more informative than an immediate organisation-wide rollout.

Define the problem

Begin with a specific need, such as excessive note-writing, delayed letters, duplicated data entry, inconsistent documentation or slow referral workflows.

Avoid starting with the assumption that the organisation simply needs an AI scribe. Different AI scribes and ambient voice technology platforms can support very different workflows.

Map the existing workflow

Document the complete process:

Consultation > note creation > review > clinical system > referral or follow-up

Include work carried out by clinicians, medical secretaries and administrative teams. A change that saves clinician time but creates more work elsewhere may not represent a genuine improvement.

Establish baseline measures

Before implementation, record measures such as:

• time spent documenting
• note-completion time
• after-hours administration
• correction frequency
• clinician satisfaction
• patient feedback
• document turnaround time.

Complete governance and safety work

Define the intended use, approved users, patient-information process, data flows, clinical hazards, supplier responsibilities and incident routes.

A pilot should still meet appropriate governance and safety requirements.

Configure and test outputs

Work with clinicians to create templates that reflect the specialty and local workflow. Test whether they capture the necessary information without adding unnecessary detail.

Train users

Training should cover the system’s limitations, patient communication, audio capture, output review, error correction and incident reporting.

Evaluate and expand

Compare the pilot results with the baseline. Expansion should take place only when the solution is safe, useful, appropriately governed and operationally sustainable.

Learn more about document workflow solutions.

10. How to choose an AVT solution

Organisations should assess the complete service, not only the appearance of a generated note.

Do not evaluate AVT solely on the quality of the initial note. Evaluate the complete process from clinical conversation to approved documentation and subsequent action.

11. AIVA, powered by Corti: AVT within the clinical workflow

AIVA is Voice Technologies’ AI Voice Assistant.

Powered by Corti’s AVT, it is designed to capture natural clinical conversations and turn relevant information into structured documentation for clinician review.

Corti provides healthcare-specific speech-to-text and text-generation capabilities, including conversational transcription, fact extraction and structured document generation.

AIVA is embedded within Voice Technologies’ document management and workflow applications rather than operating only as a standalone AI scribe.

This means captured information can form part of a wider documentation process involving:

• structured notes
• clinical forms
• correspondence
• review and approval
• document routing
• subsequent clinical or administrative actions.

The aim is to connect the clinical conversation with the systems and processes that follow it.

This may be particularly relevant to organisations that already use WinVoice, FormStream or related Voice Technologies applications and want to add real-time capture and AI capabilities within an established workflow.

12. The future of AVT in healthcare

Ambient voice technology is developing rapidly, and current note-generation capabilities are likely to be only one stage in its development.

Future systems may offer:

• more specialty-specific models
• improved recognition of clinical terminology
• better speaker differentiation
• multilingual consultation support
• improved structured data capture
• closer integration with clinical systems
• automated preparation of supporting documents
• assistance with clinical coding
• workflow actions based on approved documentation
• more sophisticated quality and safety monitoring.

As adoption increases, evidence, governance and interoperability will become more important.

The most successful solutions are unlikely to be those that simply produce impressive text. They will be the ones that fit clinical practice, protect patient information, support reliable human review and connect safely with the wider healthcare workflow.

Book a demonstration of AIVA

See how Ambient Voice Technology can support clinical documentation and wider healthcare workflows.

Contact Voice Technologies to arrange a demonstration of AIVA.

13 Frequently asked questions

What is ambient voice technology in healthcare?

AVT uses speech recognition and healthcare-specific AI to capture a clinical conversation and turn relevant information into draft documentation for clinician review.

What is an AI medical scribe?

An AI medical scribe is a tool that uses speech recognition and artificial intelligence to capture a clinical conversation and generate draft clinical documentation for a clinician to review. Some AI medical scribes focus mainly on note creation, while broader ambient voice technology solutions can also connect approved information with forms, correspondence and workflow processes.

Is AVT the same as an AI medical scribe?

The terms are often used for similar technology. However, AVT may include wider capabilities such as forms, letters, workflow integration and document routing.

Can AVT be used in NHS GP practices?

Yes, subject to appropriate clinical safety, data protection, information governance, procurement and local approval processes.

Does AVT record the entire patient consultation?

Some systems temporarily capture the full audio to create the documentation. Whether audio is retained depends on the product, configuration and organisation’s policy.

Does the clinician still need to check AI-generated notes?

Yes. The clinician should review, correct and approve the output before it becomes part of the formal record.

What is the difference between AVT and medical dictation?

Medical dictation requires the clinician to dictate a document. AVT works from the natural clinician–patient conversation and identifies information relevant to the record.

Is AVT GDPR compliant?

No product is automatically compliant in every setting. Compliance depends on how the organisation and supplier process, secure, retain and provide access to personal data.

Can AVT integrate with existing clinical systems?

Some products can integrate with electronic patient records, forms and document workflow systems. The depth of integration should be assessed during procurement and piloting.

About the author

Martyn Ross is Business Development Director & Trustee Director at Voice Technologies.

Read more about Martyn.

Voice Technologies has supported healthcare organisations with speech, documentation and workflow technology for more than 30 years. Its solutions include WinVoice, FormStream and FileStream. AIVA is its AI Voice Assistant powered by Corti’s AVT.