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Performance, acceptability, and impact of ambient listening scribe technology in an outpatient context: a mixed methods trial evaluation

Year: 2026

Type: article

Abstract: BACKGROUND: In 2024, Gold Coast Hospital and Health Service outpatient division initiated a 16-week trial of artificial intelligence (AI)-enabled ambient listening scribe technology. The objective of this pilot study was to evaluate scribe technology performance (according to dimensions of quality, utility and reliability) and its impact on the experience of outpatient clinicians and patients receiving care. METHODS: A mixed method research design combined analysis of data from patient and staff surveys, staff interviews, scribe outputs and electronic medical records across a breadth of outpatient specialties. RESULTS: By and large, ambient listening technology was associated with positive patient and staff experience. On average, 58% of scribe outputs were accepted without modification into the electronic outpatient note. There was limited evidence of bias in outputs, however there was some evidence of hallucination or incorrect outputs. CONCLUSIONS: Qualitative and quantitative data were internally consistent and demonstrated that ambient listening technology can (1) produce an accurate summary of outpatient appointments, (2) enhance clinical note quality and (3) improve both clinician and patient experience. CLINICAL TRIAL NUMBER: Not applicable.

Source: BMC Health Services Research

DOI: 10.1186/s12913-025-13954-5

Authors: Salim Memon, Adam Brand, Bianca Taylor, Adelaide Michael, Rachael Smithson

Institutions: Gold Coast Hospital, Gold Coast Health

Language: English

Topic: Electronic Health Records Systems

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,290