Improving Operational Efficiency in Multi-Specialty Dental Clinics
Publish place: Journal of Oral and Dental Health Nexus، Vol: 2، Issue: 1
Publish Year: 1404
Type: Journal paper
Language: English
View: 26
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Document National Code:
JR_JODHN-2-1_004
Index date: 18 March 2025
Improving Operational Efficiency in Multi-Specialty Dental Clinics abstract
This study aimed to explore the factors influencing operational efficiency in multi-specialty dental clinics. A qualitative research design was employed using semi-structured interviews to collect data from 20 dental professionals working in multi-specialty clinics across diverse countries. Participants were recruited through online announcements, and interviews were conducted via video calls. Theoretical saturation was used to determine the sample size. Data were transcribed verbatim and analyzed using thematic analysis with NVivo software, following an inductive coding approach to identify key themes related to clinic efficiency. The study identified three main themes influencing operational efficiency: workflow optimization, resource allocation, and technological integration. Participants reported that ineffective patient scheduling, poor delegation, and inadequate interdepartmental coordination were major barriers to efficient workflow. Challenges in human resource management, financial planning, and supply allocation affected clinic operations, with staff retention and equipment maintenance being critical concerns. The integration of electronic health records, automation in administrative tasks, and artificial intelligence-enhanced diagnostics emerged as key solutions, although cybersecurity risks and interoperability challenges persisted. Patient engagement through digital platforms was found to improve adherence and overall clinic efficiency. The findings suggest that operational efficiency in multi-specialty dental clinics can be enhanced through structured workflow strategies, optimized resource allocation, and strategic technological adoption. Implementing automated scheduling, improving staff retention, utilizing predictive analytics for resource planning, and ensuring cybersecurity compliance are essential for maintaining clinic productivity and service quality. Future research should explore the long-term impact of these interventions in different clinical settings. This study aimed to explore the factors influencing operational efficiency in multi-specialty dental clinics. A qualitative research design was employed using semi-structured interviews to collect data from 20 dental professionals working in multi-specialty clinics across diverse countries. Participants were recruited through online announcements, and interviews were conducted via video calls. Theoretical saturation was used to determine the sample size. Data were transcribed verbatim and analyzed using thematic analysis with NVivo software, following an inductive coding approach to identify key themes related to clinic efficiency. The study identified three main themes influencing operational efficiency: workflow optimization, resource allocation, and technological integration. Participants reported that ineffective patient scheduling, poor delegation, and inadequate interdepartmental coordination were major barriers to efficient workflow. Challenges in human resource management, financial planning, and supply allocation affected clinic operations, with staff retention and equipment maintenance being critical concerns. The integration of electronic health records, automation in administrative tasks, and artificial intelligence-enhanced diagnostics emerged as key solutions, although cybersecurity risks and interoperability challenges persisted. Patient engagement through digital platforms was found to improve adherence and overall clinic efficiency. The findings suggest that operational efficiency in multi-specialty dental clinics can be enhanced through structured workflow strategies, optimized resource allocation, and strategic technological adoption. Implementing automated scheduling, improving staff retention, utilizing predictive analytics for resource planning, and ensuring cybersecurity compliance are essential for maintaining clinic productivity and service quality. Future research should explore the long-term impact of these interventions in different clinical settings.
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