Artificial intelligence medical scribes in allied health: a solution in search of evidence?

Artificial intelligence (AI) medical scribes (AI scribes), which ambiently record and transcribe patient-clinician interactions into structured documentation, aim to ameliorate documentation burdens, but their suitability for allied health remains unclear. AI scribes are often designed for doctors, raising concerns about accuracy, workflow integration, and applicability to allied health's diverse documentation needs. While potential benefits include improved efficiency and patient engagement, evidence is lacking for their effectiveness in allied health settings. Risks such as AI bias, patient safety, and integration barriers may also require consideration. This paper argues that further research is needed before widespread allied health adoption, emphasising the need for discipline-specific evaluations to assess AI scribes' viability in allied health practice.

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Publication Details

Journal
Australian Health Review
Published
2025-06-02
DOI
https://doi.org/10.1071/ah25064
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence medical scribes in allied health: a solution in search of evidence?

Laura Ryan, Laetitia Hattingh
Australian Health Review
Artificial Intelligence in Healthcare and Education
article

Artificial intelligence medical scribes in allied health: a solution in search of evidence?

Laura Ryan, Laetitia Hattingh
article en

Abstract

Artificial intelligence (AI) medical scribes (AI scribes), which ambiently record and transcribe patient-clinician interactions into structured documentation, aim to ameliorate documentation burdens, but their suitability for allied health remains unclear. AI scribes are often designed for doctors, raising concerns about accuracy, workflow integration, and applicability to allied health's diverse documentation needs. While potential benefits include improved efficiency and patient engagement, evidence is lacking for their effectiveness in allied health settings. Risks such as AI bias, patient safety, and integration barriers may also require consideration. This paper argues that further research is needed before widespread allied health adoption, emphasising the need for discipline-specific evaluations to assess AI scribes' viability in allied health practice.

Australian Health ReviewVol. 49(3)
Griffith University (AU), The University of Queensland (AU), Gold Coast Hospital (AU), Gold Coast Health (AU)
Openalex Percentile: Top 92%
Artificial Intelligence in Healthcare and Education
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Artificial intelligence medical scribes in allied health: a solution in search of evidence? — Laura Ryan, Laetitia Hattingh · Australian Health Review (2025) | TGRS Research Map | TGRS