Ambient Audio-Visual Capture for Clinical Documentation and Assessment

BACKGROUND

Ambient AI scribes have achieved rapid uptake in outpatient and community settings but all published evaluations use audio-only capture. The inpatient ward round is a multimodal clinical event comprising verbal exchange, physical examination, procedural assessment, and non-verbal observation. Audio-only systems are structurally incapable of capturing observable clinical elements, representing construct under-representation under the Messick validity framework.

No published study has evaluated ambient audio-visual capture in a real inpatient setting, nor measured the educational impact of AI-generated formative feedback on ward rounds.

STUDY DESIGN

Mixed-methods feasibility and educational impact study. Surgical ward round at Yeovil District Hospital as the primary study context. Up to three ambient AV capture devices deployed simultaneously in separate side rooms on each study day. Ward rounds proceed sequentially through each room, allowing up to three consented encounters per study day.

PARTICIPANTS

Trainee participants: medical students (Year 3-5) and doctors in training (FY1 through registrar/ST grade) undertaking supervised clinical activities at the study site.

Patient participants: adult inpatients (age 18 or over) able to provide informed consent, admitted under the surgical team, clinically stable at the time of approach.

TARGET SAMPLE: 60-80 consented encounters across 20-30 trainee participants and up to 80 patient participants.

INTERVENTION

On each study day, eligible patients in up to three side rooms are consented before ward rounds begin. A BlackFrame ambient AV capture device is positioned visibly in each consented patient's room prior to the ward round, with clear patient-facing signage. Devices operate autonomously once positioned and do not require operator presence during the encounter.

The surgical ward round proceeds sequentially through each side room. After each encounter the AI platform produces: (a) a structured draft clinical note for supervising clinician review and countersignature before any use in the patient record; (b) a formative feedback report for the trainee covering clinical communication, examination technique, and documentation quality, delivered within 30 minutes.

OUTCOMES

Primary: (1) Change in trainee assessment scores from baseline to end-of-placement; (2) documentation time saved with versus without AI s

Inclusion

Trainee participants:

• Doctor in training (FY1 through registrar/ST grade) undertaking a supervised clinical activity at a participating NHS study site
• Able to provide written informed consent in English

Patient participants:

• Adult inpatient aged 18 years or over
• Able to provide written informed consent in English
• Admitted under a surgical team at a participating study site
• Clinically stable at the time of approach

Exclusion

Trainee participants:

• Unwilling to be audio-visually recorded
• Unable to provide written informed consent
• Any trainee where participation could create a direct conflict with a concurrent formal assessment or appraisal process at that session

Patient participants:

• Age under 18 years
• Unable to provide informed consent (including temporary incapacity due to acute illness, sedation, or delirium)
• Acute clinical deterioration at the time of approach
• Encounter involves sensitive disclosures in mental health, sexual health, or safeguarding unless a specific sub-protocol with additional consent measures is in place
• Patient has previously declined participation and does not wish to be re-approached
• Non-English speaking patients where no appropriate interpreter is available to support the consent process