Bulletin of Stomatology and Maxillofacial Surgery
ISSN 1829-006X
2025; 50–57
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AI-DRIVEN VIRTUAL ASSISTANTS IN DENTISTRY:ENHANCING PATIENT CARE WORKFLOW EFFICIENCY

Deepak Kamalanathan*, Sasikala C, Vaishali E, Harinee A, Sowmiya N

Department of Prosthodontics, Chettinad Dental College & Research Institute ,India · Reader, Department ofProsthodontics, Chettinad Dental College & Research Institute India, · Senior Lecturer , Department of Prosthodontics, Chettinad Dental College & Research Institute , India · Senior Lecuturer , Department of Prosthodontics, Chettinad Dental College & Research Institute , India · Senior Lecturer , Department ofProsthodontics, Chettinad Dental College & Research Institute , India

Received: 2026-04-08 · Published: 2025-06-10

© 2025 The Author(s) and the original publisher.

CC BY-NC 4.0 This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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Original title
AI-DRIVEN VIRTUAL ASSISTANTS IN DENTISTRY:ENHANCING PATIENT CARE WORKFLOW EFFICIENCY
Authors
Deepak Kamalanathan, Sasikala C, Vaishali E, Harinee A, Sowmiya N
Source journal
Bulletin of Stomatology and Maxillofacial Surgery
Published
2025-06-10
Licence
Creative Commons Attribution-NonCommercial 4.0 International
Original
https://doi.org/10.58240/1829006X-2025.21.5-50

Abstract

Background:Dental practice management demonstrates positive potential through AI-powered virtual assistants since these systems perform administrative tasks while enhancing patient consultations. Evidence about their effect in actual dental clinics is still insufficient to measure. Objective: This observational prospective research measured the outcomes of AI-based virtual assistants on dental care processes and practice workflow in dental offices. Methods:The studybase included 168 dental practices which fulfilled the requirements regarding their use and stability of AI-based virtual assistants. Data collection took place at baseline assessment during Months 0-3 and after three months during Months 4-6 followed by six months in Months 7-9. The quantitative assessment involved patient satisfaction ratings as well as treatment success rates and appointment scheduling speeds and time spent handling administrative duties and the entire workflow efficiency. The study obtained qualitative data by conducting interviews which underwent thematic analysis. Results:The patient satisfaction scores together with treatment success rates and appointment scheduling efficiency and administrative task completion time and overall workflow efficiency improved significantly at both three-month and six-month follow-ups (p < 0.05). The analysis used regression to show how patients reacted to using AI virtual assistants but it took into consideration resource duration and practice size and location and starting patient satisfaction scores (adjusted R-squared: 0.573). Conclusion:AI-powered virtual assistants enhance both dental patient care procedures and clinical workflow operation in dental offices according to this study. Dental practices can optimize their practical operations while improving patient satisfaction to determine the proper integration techniques for dental technology in future developments.
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