Digital Scribes in Dentistry: Opportunities, Risks and Practical Considerations

ABSTRACT Digital scribes are increasingly being adopted in healthcare to reduce documentation burden and improve clinical workflow. These systems generate clinical records from clinician–patient conversations using speech recognition and artificial intelligence (AI) technologies. While studies in medicine suggest benefits including reduced administrative workload and improved clinician experience, evidence in dentistry remains limited. This narrative review examines the current evidence, challenges, and implementation considerations associated with digital scribes in Australian dental practice. Potential benefits include improved workflow efficiency, documentation support, clinician satisfaction and enhanced practitioner–patient relationships. Reported limitations include omissions, factual inaccuracies, poor recognition of dental terminology, reduced performance in complex communication environments and the generation of misleading or excessive clinical records. Potential unintended consequences include automation bias, changes in clinician–patient interactions, impacts on clinical reasoning, patient self‐censorship, and equity concerns related to algorithmic bias. Dental practitioners remain professionally accountable for the accuracy and completeness of AI‐generated clinical records. Consequently, implementation of digital scribes in dental settings requires robust governance, informed consent processes, clinician oversight and ongoing performance auditing. Further research is needed to evaluate the impact of digital scribes in dental practice, including their effects on patient outcomes, dental education and health equity.

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Publication Details

Journal
Australian Dental Journal
Published
2026-11-06
DOI
https://doi.org/10.1111/adj.70086
Primary Topic
Electronic Health Records Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Digital Scribes in Dentistry: Opportunities, Risks and Practical Considerations

Bree Jones, Rishi Sanjay Ramani, Andrew Gikas, Tami Yap
Australian Dental Journal
Electronic Health Records Systems
article

Digital Scribes in Dentistry: Opportunities, Risks and Practical Considerations

Bree Jones, Rishi Sanjay Ramani, Andrew Gikas, Tami Yap
article en

Abstract

ABSTRACT Digital scribes are increasingly being adopted in healthcare to reduce documentation burden and improve clinical workflow. These systems generate clinical records from clinician–patient conversations using speech recognition and artificial intelligence (AI) technologies. While studies in medicine suggest benefits including reduced administrative workload and improved clinician experience, evidence in dentistry remains limited. This narrative review examines the current evidence, challenges, and implementation considerations associated with digital scribes in Australian dental practice. Potential benefits include improved workflow efficiency, documentation support, clinician satisfaction and enhanced practitioner–patient relationships. Reported limitations include omissions, factual inaccuracies, poor recognition of dental terminology, reduced performance in complex communication environments and the generation of misleading or excessive clinical records. Potential unintended consequences include automation bias, changes in clinician–patient interactions, impacts on clinical reasoning, patient self‐censorship, and equity concerns related to algorithmic bias. Dental practitioners remain professionally accountable for the accuracy and completeness of AI‐generated clinical records. Consequently, implementation of digital scribes in dental settings requires robust governance, informed consent processes, clinician oversight and ongoing performance auditing. Further research is needed to evaluate the impact of digital scribes in dental practice, including their effects on patient outcomes, dental education and health equity.

Australian Dental Journal
The University of Melbourne (AU), The Alfred Hospital (AU), Alfred Health (AU)
Openalex Percentile: Top 12%
Electronic Health Records Systems
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