Supplier Ambient Voice Technology (AVT) Self Certified Registry for the use of AI-Enabled Ambient Scribing Products in Health and Care Settings

NHS England are seeking to establish a supplier registry for the use of AI-enabled ambient scribing products in health and care settings. Suppliers must hold class 1 Medical Device Accreditation and current DTAC assessment. All corresponding certifications and registrations specified within DTAC must be provided as part of the application process. Evidence of benefit within the NHS care setting proposed is also required. Evidence may be provided in various formats for example, in the form of case studies or reports. The aim is to create and develop a robust and accurate supplier registry for ambient voice technology ("AVT Registry") with an accompanying resource library that will be shared to better inform buying authorities so that they can ensure compliance with the guidance issued by NHS England. Procurements thereafter will be undertaken by the NHS bodies themselves and in accordance with their own governance requirements. The National Commercial and Procurement Hub will undertake preliminary completion checks against the requirements and standards as specified on the Atamis e-tendering portal. An evidence base of documentation will be collated for onward sharing with NHS Buyers. All collateral must be kept up to date and current. It is the supplier's responsibility to keep the Hub up to date with details of their systems and solutions so that the information shared with NHS Buyers is current and accurate. The registry operationalises the requirements by offering a transparent, centralised platform where AVT suppliers can self-declare compliance. It is not a procurement mechanism, but a strategic enabler that: • Lists successful AVT solutions that have submitted evidence of self-certification with NHS standards • Supports procurement and pilot planning by surfacing supplier capabilities • Encourages transparency around safety, data handling, and performance • Enables monitoring and evaluation of real-world use and outcomes • Facilitates cross-system learning and