Title
Effect of AI-powered patient management systems in dental clinics
Authors
S Mohammed Harris1,*, Revanth S Soonthodu2, Saloni Bharti3, Maneesha Das4, Christina Sarah James5 & K Aadisha6
Affiliation
1Department of Periodontics, SRM Dental College, Bharathi Salai, Ramapuram, Chennai-89, Tamil Nadu, India; 2Department of Orthodontics, KVG Dental College and Hospital, Kurunjibhag, Sullia, Karnataka 574327, India; 3Department of Dentistry , ESIC Medical College and Hospital, Kateshar, Bihta, Bihar 801103, India; 4Department of Conservative Dentistry and Endodontics, Institute of Dental Sciences, Siksha 'O' Anusandhan University, Bhubaneswar-751003, Odisha, India; 5Department of Oral Pathology, Travancore Dental College, Thattamala, Mylapure, Palathara, Kollam, Thazhuthala, Kerala 691020, India; 6Department of Public Health, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University) No. 1, Ramachandra Nagar, Porur, Chennai – 600116, Tamil Nadu, India; *Corresponding author
S Mohammed Harris - E-mail: harris.demmahom@gmail.com; Phone: +91 7358180547
Revanth S Soonthodu - E-mail: revanthss7@gmail.com; Phone: +91 9900447440
Saloni Bharti - E-mail: drsalonibharti2424@gmail.com; Phone: +91 70916 55625
Maneesha Das - E-mail: drmaneeshadas1982@gmail.com; Phone: +91 7507178741
Christina Sarah James - E-mail: christinajames0112@gmail.com; Phone: +91 9637865190
K Aadisha - E-mail: aathhishaaachika@gmail.com; Phone: +91 8089877186
Article Type
Research Article
Date
Received April 1, 2026; Revised April 30, 2026; Accepted April 30, 2026, Published April 30, 2026
Abstract
Dental clinics frequently experience operational inefficiencies due to fragmented data systems and manual administrative processes. Therefore, it is of interest to evaluate the impact of AI-powered patient management systems on workflow efficiency, data accuracy and patient satisfaction across five clinics. Appointment scheduling time reduced from 9.6 ± 2.4 to 3.2 ± 1.1 minutes, billing errors declined from 12.5 ± 3.8% to 3.7 ± 1.9% and data entry accuracy improved to 96.2 ± 2.7%. Patient satisfaction scores increased across communication, access to records, waiting time experience and overall service quality. Thus, AI integration was associated with measurable improvements in administrative precision and clinical workflow performance.
Keywords
Artificial intelligence (AI), patient management system, dental clinics, healthcare efficiency, clinical decision support
Citation
Harris et al. Bioinformation 22(4): 2045-2048 (2026)
Edited by
A Prashanth
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
