Case Study: Implementing Digital Dentistry in a Community Clinic Network

Thesis Abstract

The rapid transformation of dental practice toward digital workflows has outpaced the adoption capacity of community clinics, revealing gaps in infrastructure, clinician proficiency, patient access, and data interoperability that threaten the equity and quality of care. This study investigates the implementation of digital dentistry within a network of five community clinics serving a metropolitan area, aiming to elucidate organizational, clinical, and patient-centered determinants of successful integration and sustained use. The central objective is to evaluate how digital technologies—such as intraoral scanners, digital radiography, computer-assisted design/manufacturing (CAD/CAM), and electronic health records (EHR) integrated with decision-support tools—affect clinical efficiency, treatment outcomes, patient satisfaction, and operational resilience amid resource constraints. Specific objectives include (1) to map the implementation trajectory across clinics, including timelines, training, and change-management strategies; (2) to assess changes in appointment throughput, chair-time, and radiographic utilization pre- and post-implementation; (3) to examine patient-reported experience measures (PREMs) and treatment acceptance across differing demographic groups; (4) to identify barriers and enablers at the levels of technology, workflow, and organizational culture; and (5) to develop a framework for scalable digital dentistry deployment in similar community settings. The study adopts a mixed-methods design anchored in pragmatism, combining quantitative and qualitative data to generate actionable insights. The population comprises dental clinicians (n=40), dental assistants (n=20), administrative staff (n=15), and patients (n=600) across the five clinics. A stratified random sample yields 120 patient participants for PREMs, 60 clinicians/assistants for workflow observation, and all five clinic managers for interview-based insights. Data collection instruments include a standardized workflow efficiency checklist, time-and-motion logs, achievement of digital milestones, PREMs surveys (validated for patient satisfaction and perceived access), clinician self-efficacy scales for digital competencies, and semi-structured interview guides. Instrument validity is established through content validation by a panel of five digital dentistry experts and pilot testing with two clinics. Reliability is assessed via Cronbach’s alpha for multi-item scales and inter-rater reliability for observational measures. Data analysis integrates descriptive statistics, interrupted time-series analyses to detect changes in throughput and radiography rates, multiple regression to identify predictors of efficiency and patient satisfaction, and thematic analysis of interview transcripts guided by Braun and Clarke’s approach. A conceptual framework informed by the Technology Acceptance Model (TAM) and the Diffusion of Innovations (DOI) theory will be operationalized to interpret determinants of adoption, with propositions tested through mixed-methods integration. Expected findings include measurable improvements in appointment throughput by 18–25%, reduction in average chair-time per session by 12–20%, and increased diagnostic radiograph utilization aligned with evidence-based protocols. Clinically meaningful improvements in patient satisfaction are anticipated, particularly among younger adults and underserved subgroups, alongside enhanced clinician confidence in digital workflows. The analysis is likely to reveal that successful implementation hinges on comprehensive change-management strategies, targeted training with ongoing mentorship, robust IT infrastructure, data interoperability across EHR and imaging systems, and aligned incentives to sustain usage beyond initial funding. The study contributes to knowledge by providing an empirically grounded, context-specific model of digital dentistry adoption in resource-constrained community settings, detailing how organizational culture, leadership engagement, and patient-centric design interact with technology affordances to determine outcomes. The findings will generate practical guidance for policymakers and clinic networks on prioritizing investments, governance structures, and scalable deployment plans, including a five-phase roadmap and a checklist for replicability in similar urban communities. The conclusion underscores that digital dentistry can enhance access, efficiency, and patient experience in community clinics when implemented with deliberate alignment of technology, people, and process. Recommendations emphasize the need for standardized implementation protocols, routine performance monitoring, ongoing professional development, data governance, and collaborative partnerships with academic institutions to support continual improvement and evaluation.