#1194

Trialling Real-World Implementation of AI Voice Dictation in a Urology Outpatient Clinic: A Feasibility Study

E. Alpay1,2, S. Qin1,2, A. Ta1, D. Woon1, J. Ischia1,2

1Austin Health, Urology, Melbourne, Australia
2University of Melbourne, Medicine, Dentistry and Health Sciences, Melbourne, Australia

Introduction:

Generative AI is increasingly being utilised in healthcare documentation, with AI-powered ambient dictation tools documenting consultations and streamlining workflow. These technologies present a significant opportunity to reduce administrative workload and enhance patient–clinician interaction. Despite this, evidence supporting their efficacy and implementation, particularly among urologists with varying levels of technological familiarity remains limited. This study evaluated the implementation of Heidi Health, an AI dictation platform, in a urology outpatient clinic, focusing on feasibility, documentation quality, and user experience.

Material and methods:

Over a three-week period in a public tertiary hospital urology clinic in Melbourne, Australia, consultant urologists used Heidi Health to dictate clinical notes in real time during consultations. Consultants, spanning <10 to >30 years post-fellowship, completed structured surveys assessing usability, integration into workflow, and perceived documentation quality. Patients provided anonymous feedback on their experience of being present during dictation. Dictation accuracy was assessed against direct audio recordings. Note quality was evaluated using the modified Physician Documentation Quality Instrument-9 (PDQI-9).

Results:

Dictation accuracy was 100%, with no corrections required. Notes rated highly across PDQI-9 domains, particularly for clarity, completeness, and organisation. All consultants found the tool easy to use, effective at capturing clinical content, and expressed interest in continued use. Feedback was positive across all levels of clinical experience. Patients reported that their doctor felt more present and engaged during the consultation. However, some raised concerns around how the AI worked and whether its use was secure.


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    TUA線上教育_家琳
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    台灣泌尿科醫學會
    建立
    2026-04-24 19:00:23
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    2026-04-24 19:00:28
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