Ambient AI reduces documentation time and enhances quality in a simulated inpatient setting

Clinical documentation is essential for safe and effective patient care but places a considerable clerical burden on clinicians. Ambient artificial intelligence (AI) systems, which capture clinical conversations and generate structured notes in real time, have shown promise in primary and outpatient care but remain underexplored in the inpatient setting. This study examined the impact of an ambient AI scribe on documentation timing, quality, and workload in a simulated orthopaedic inpatient setting.

Seven postgraduate year one junior doctors participated in simulated orthopaedic ward rounds incorporating an ambient AI scribe (Heidi Health, Melbourne, Australia). A total of 150 clinical documents were generated: 120 progress notes (60 manual, written retrospectively, and 60 produced in real time using ambient AI) and 30 discharge summaries (15 manual and 15 AI-generated). Documentation time was recorded, and quality was assessed using the Physician Documentation Quality Instrument-9 (PDQI-9) for each clinical document. Workload was evaluated using the NASA-TLX instrument.

Ambient AI significantly reduced documentation time for both progress notes (median 27s vs. 128s; P < .0001) and discharge summaries (median 114s vs. 459s; P < .0001). Time savings persisted across all complexity levels. AI-generated progress notes achieved higher overall PDQI-9 scores than manual notes (median 43.5 vs. 41; P = .002), with significant gains in thoroughness, currency, and usefulness, without compromising accuracy. Similarly, AI-generated discharge summaries scored higher (median 40 vs. 33; P < .0001), with improvements in comprehensibility, organisation, internal consistency, and synthesis. Junior doctors reported reduced workload across all NASA-TLX domains, with the largest improvements in frustration (-79 %) and effort (-81 %).

In simulated orthopaedic ward rounds, ambient AI substantially reduced documentation time, improved document quality, and alleviated workload for junior doctors.