Top 9 Best Teledentistry Software of 2026

Doxy.me provisions provider and practice access through account configuration and supports staff roles for operational separation. The visit session model is straightforward, with a consistent pre-visit screen, live call state, and participant management that supports predictable throughput for clinics handling concurrent calls. Data capture is primarily visit-centric, with limited extensible schema surface compared with EMR-first telehealth systems that model diagnoses and orders inside the integration layer.

A common tradeoff is weaker automation and data-model depth than EMR-integrated telehealth products that offer event-driven workflows. Doxy.me fits situations where the primary requirement is dependable tele-visit delivery with light governance controls and minimal custom integration work. Clinics typically use Doxy.me alongside scheduling tools and then attach visit documentation in downstream clinical systems.

Teladoc Health fits organizations that need appointment routing, digital intake, and clinician-facing visit workflows tied to structured clinical data for dental care. Integration depth matters because teledentistry operations often require pulling member identity, plan eligibility, and referral context from existing systems. The automation surface is centered on configurable processes and programmable interfaces that connect care events to external downstream tools. Governance controls include role-based access, user provisioning, and audit logs for operational visibility across care teams.

A key tradeoff appears in the heavier implementation effort required to map dental-specific documentation and identifiers into the available schema and workflow configuration. Teams get the best outcome when they already run scheduling, CRM, and clinical record workflows and need bidirectional data flow for throughput and reporting. A common usage situation is connecting member authorization and referral intake into visit booking, then pushing completed visit artifacts back to care management or EMR systems.

MDLive supports virtual encounter workflows that map to dental needs like triage, follow-up, and care coordination. The data model centers on patient identity, appointment context, clinical notes, and visit outcomes, which affects how reliably downstream EHR teams can consume results. Integration depth typically depends on how patient matching and clinical documentation export are configured and governed. Extensibility is most practical when an organization can connect scheduling, messaging, and record exchange through well-defined integration points.

A tradeoff appears when RBAC boundaries and auditability must align with dental practice governance, because remote workflows often span multiple roles and systems. MDLive fits situations where dental service lines need standardized remote intake and repeatable clinician documentation, while central IT controls provisioning and permissions. Usage is strongest when an organization already has identity resolution and an established destination for results like an EHR or clinical repository.

Commure targets teledentistry operations with a focus on workflow automation, patient intake, and case management across multiple care sites. Strong integration depth is supported through documented API surfaces and webhook-style event handling for provisioning and data synchronization.

The data model centers on patient records, visits, clinical documents, and communication artifacts, which supports configurable intake and routing logic. Admin governance is geared toward role-based access control, audit logging, and repeatable configuration for consistent deployment across teams and locations.

VSee provides tele-dentistry video visits with patient-facing capture of imaging, forms, and clinical notes inside structured workflows. Integration depth centers on connecting clinical systems through its API and configurable patient session flows rather than requiring manual handoffs.

The data model supports clinic workflows for scheduling, encounter documentation, and resource management tied to a visit. Automation and governance depend on configurable roles, tenant-level settings, and auditable activity across encounters and access events.

Microsoft Teams fits telehealth programs that coordinate clinical staff across locations using chat, channel-based workspaces, and scheduled meetings. Real-time communication and file sharing run alongside compliance controls available through Microsoft Purview and Microsoft 365 admin centers.

Integration depth comes through the Microsoft 365 data model, including SharePoint-backed content, Teams apps, and extensibility through Graph APIs. Automation and data governance depend on RBAC, audit logging, retention policies, and connector-driven workflows built on an explicit permissions and schema model.

Zoom for Healthcare packages Zoom Meetings with healthcare-oriented administration and compliance guidance. It supports HIPAA-aligned workflows using meeting settings and access controls that map to telehealth needs.

Integration depth centers on Zoom APIs and webhooks, which enable provisioning patterns and automation around scheduling, user management, and meeting events. For teledentistry, the platform enables high-throughput clinician patient video sessions with audit-oriented operational controls.

Kry delivers teledentistry workflows that focus on patient intake, clinician scheduling, and visit execution inside a controlled system. Its distinct value comes from tight integration pathways around identity, booking, and records exchange rather than just video calls.

Kry also supports automation through configurable routing rules for appointments and clinical queues. The data model and extensibility centers on visit artifacts, patient context fields, and auditable operational events that governance teams can review.

Denta.io performs teledentistry visit intake, clinical documentation, and patient messaging inside a configurable workflow. The distinct part is a structured clinical data model that maps documentation, forms, and appointment context into a consistent schema.

Integration depth depends on its API and webhook surface, which governs how scheduling, patient records, and external systems can be provisioned and synchronized. Automation and governance are handled through role-based access and configurable process rules tied to visit status and audit trails.