Improving Clinical Efficiency Using Artificial Intelligence Scribe for Documentation ( <scp>ICE</scp> ‐ <scp>AID</scp> Study): A Retrospective‐Prospective Cohort Study at a Quaternary Children's Hospital and Health Service

AIM: To evaluate the impact of an artificial intelligence medical scribe (AIMS) on clinical documentation efficiency, document quality, clinician-patient interaction, clinician well-being, consumer perspectives, overtime, and transcription costs. METHODS: Retrospective-prospective study of AIMS project cohort including medical, allied health and nursing practitioners at a quaternary children's hospital and health service (HHS). Outcome measures included time-to-finalise outpatient correspondence, clinicians' Reflections survey (1 month), document quality survey using modified Physician Documentation Quality Instrument-9 tool's domains (3 months), System Usability Scale (SUS) (3 months). Patient/consumer experience surveys, overtime and cost analyses. RESULTS: Total 131 participants including 89 medical, 36 allied health and 6 nurse practitioners used AIMS showing significant reduction in median time-to-finalise outpatient letters from 7.9 days (Interquartile range [IQR] 19 days) in pre-AIMS era to 14 min (IQR 6 days) (p < 0.001). In the Reflections survey participants reported improved: patient engagement (62/71, 87%), well-being (80%, 57/71) and work-life balance (66%, 47/71). The document quality survey showed acceptable document quality with median score 4, in 9 of the 10 survey domains (scale 1-to-5, n = 77). Mean SUS score was 74 (n = 77) suggesting above average usability. Study showed transcription cost savings of 16 903 AUD, but no definitive impact on overtime claims. Patient/consumer feedback (n = 333) was highly positive with over 90% reporting improved clinician-patient interaction and welcoming future use of AIMS. CONCLUSIONS: This study showed significantly improved documentation efficiency, acceptable document quality, and reduced transcription costs with significant benefits to clinician well-being and clinician-patient interaction with the use of an ambient AI medical scribe. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry: ACTRN12625000432415.

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Journal
Journal of Paediatrics and Child Health
Published
2026-05-27
DOI
https://doi.org/10.1111/jpc.70419
Primary Topic
Electronic Health Records Systems
Type
article
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article

Improving Clinical Efficiency Using Artificial Intelligence Scribe for Documentation ( ICE ‐ AID Study): A Retrospective‐Prospective Cohort Study at a Quaternary Children's Hospital and Health Service

Stephanie Brosnan, Pauline McGrath, Linda Thorburn, Yonatan Gofer et al.
Journal of Paediatrics and Child Health
Electronic Health Records Systems
article

Improving Clinical Efficiency Using Artificial Intelligence Scribe for Documentation ( ICE ‐ AID Study): A Retrospective‐Prospective Cohort Study at a Quaternary Children's Hospital and Health Service

Stephanie Brosnan, Pauline McGrath, Linda Thorburn, Yonatan Gofer, Catherine Skellern, Vishal Kapoor
article en

Abstract

AIM: To evaluate the impact of an artificial intelligence medical scribe (AIMS) on clinical documentation efficiency, document quality, clinician-patient interaction, clinician well-being, consumer perspectives, overtime, and transcription costs. METHODS: Retrospective-prospective study of AIMS project cohort including medical, allied health and nursing practitioners at a quaternary children's hospital and health service (HHS). Outcome measures included time-to-finalise outpatient correspondence, clinicians' Reflections survey (1 month), document quality survey using modified Physician Documentation Quality Instrument-9 tool's domains (3 months), System Usability Scale (SUS) (3 months). Patient/consumer experience surveys, overtime and cost analyses. RESULTS: Total 131 participants including 89 medical, 36 allied health and 6 nurse practitioners used AIMS showing significant reduction in median time-to-finalise outpatient letters from 7.9 days (Interquartile range [IQR] 19 days) in pre-AIMS era to 14 min (IQR 6 days) (p < 0.001). In the Reflections survey participants reported improved: patient engagement (62/71, 87%), well-being (80%, 57/71) and work-life balance (66%, 47/71). The document quality survey showed acceptable document quality with median score 4, in 9 of the 10 survey domains (scale 1-to-5, n = 77). Mean SUS score was 74 (n = 77) suggesting above average usability. Study showed transcription cost savings of 16 903 AUD, but no definitive impact on overtime claims. Patient/consumer feedback (n = 333) was highly positive with over 90% reporting improved clinician-patient interaction and welcoming future use of AIMS. CONCLUSIONS: This study showed significantly improved documentation efficiency, acceptable document quality, and reduced transcription costs with significant benefits to clinician well-being and clinician-patient interaction with the use of an ambient AI medical scribe. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry: ACTRN12625000432415.

Journal of Paediatrics and Child Health
The University of Queensland (AU), Children’s Health Queensland Hospital and Health Service (AU), Children's Health Queensland Hospital and Health Service (AU)
Quality Education
Openalex Percentile: Top 3%
Electronic Health Records Systems
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