Top 10 Best Telehealth Software of 2026

AdvancedMD ties telehealth visits into its clinical record workflow, so medication lists, problem lists, and encounter documentation flow into the same data model used for in-person care. The integration depth shows through its interface options for third-party systems, where schema alignment matters for scheduling, eligibility, and document flows. Automation and API surface support operational provisioning, such as user roles and department access, rather than treating telehealth as a standalone module. Admin governance includes RBAC controls and audit trails that record changes tied to remote encounter activity.

A tradeoff appears when teams want a narrow telehealth UX that differs from the core EHR workflow, because documentation steps and order flows stay grounded in the same schema. AdvancedMD fits better when telehealth visits must match existing clinical standards and downstream billing documentation requirements. It is less ideal when workflows require heavily customized data schemas that conflict with the EHR encounter model.

athenahealth fits teams that need telehealth connected to the same underlying patient data model used for clinical documentation, orders, and downstream claims. The integration breadth matters when telehealth sessions must synchronize demographics, problem lists, medications, and visit outcomes across practice systems. Automation is more actionable when event triggers and workflow steps can be configured to align with registration, consent capture, and post-visit tasks. A documented API and extensibility points matter most for provisioning, data synchronization, and building custom routing logic.

A key tradeoff is that deep EHR coupling increases dependency on athenahealth’s schema and operational patterns. Teams that only need standalone video visits or minimal documentation can face higher integration effort than lighter telehealth-only tools. A strong fit appears when multi-site governance requires consistent RBAC policies and auditable changes across scheduling, documentation, and care transitions. It is also a better match when integration throughput is high and failures must be detectable through audit and workflow logs.

eClinicalWorks maps telehealth into its clinical data model so encounter documentation, orders, and recorded outcomes attach to the same patient record used by in-person care. The integration depth improves interoperability because downstream systems can consume structured clinical artifacts created during virtual encounters, not just video session metadata. Automation and governance are anchored by RBAC controls and an audit log that records access and key events across the workflow. Admin configuration supports provisioning and policy controls that reduce variability between sites and clinics.

A tradeoff is that deeper EHR integration usually increases implementation effort for orgs that only want lightweight video visits and minimal clinical documentation. eClinicalWorks fits best when virtual care must align with clinical compliance expectations, billing-ready encounter structure, and shared clinical workflows across multiple locations. It also suits teams that need controlled access for clinicians and staff and want integration to connect referral management, labs, and medication workflows with telehealth events.

Epic positions telehealth inside a broader EHR and revenue-cycle ecosystem, which drives deep workflow integration. Its data model connects scheduling, documentation, orders, messaging, and clinical results to a single patient record.

Epic supports automation through configuration and build tools that map to clinical events, with integration options for external systems. Governance features such as role-based access and audit logging help control who can access and change telehealth data across organizations.

Teladoc Health schedules and delivers telehealth encounters with clinical workflows that connect patients, clinicians, and care settings. Integration depth centers on electronic intake, appointment management, and order routing into downstream clinical systems through available APIs and partner interfaces.

The data model supports encounter-centric records, message threads, and clinical documentation artifacts that can be synchronized with external platforms. Admin controls focus on role-based access, configurable policies, and auditable activity for governance across intake, scheduling, and visit operations.

Amwell fits organizations that need enterprise-grade telehealth workflows with strong integration depth and governed operations. The product supports clinical visit orchestration, provider access controls, and EHR-aligned documentation workflows.

Amwell’s automation and API surface support provisioning, referral handoffs, and data exchange between scheduling, identity, and clinical systems. Auditability and admin controls support RBAC and operational oversight across patient, provider, and support roles.

Doxy.me differentiates with browser-first telehealth visits that avoid client installs and keep the integration surface focused on visit lifecycle, not native apps. Its core capabilities center on scheduling-less appointment creation, shareable session links, and role-based controls for who can start, view, or manage a visit.

Data handling stays centered on the visit and participant roles, with limited visibility into custom metadata schemas compared with deeper EHR-connected telehealth stacks. Automation and extensibility are more constrained than products that expose a broader API for documents, messaging, and workflow state machines.

Kareo Health serves as a telehealth software suite that centers clinical workflow, patient engagement, and scheduling around a shared healthcare data model. Integration depth shows through support for common EHR and clinical systems, with an API and automation surface aimed at enabling scheduling, documentation, and referral workflows.

The governance layer emphasizes role-based access controls and audit trails for operational visibility. Admin configuration focuses on aligning eligibility, routing, and encounter settings to local care processes.

Zoom for Healthcare provisions HIPAA-aligned video meetings, virtual waiting rooms, and role-based access for clinical encounters. Zoom for Healthcare integrates meeting identity and user management with common healthcare workflows through configurable SSO and API-based extensions.

The data model centers on authenticated participants, session artifacts like recordings and transcripts, and governed access controls tied to RBAC and audit logging. Admin teams can enforce configuration policies and review activity history across organizations using governance tooling.

Microsoft Teams fits telehealth organizations that need clinical collaboration plus deep integration with Microsoft 365 identity, device management, and workflow tooling. Video meetings, channels, and scheduled events support clinician and care-team coordination, while compliance features like retention and eDiscovery apply to chat, files, and meeting recordings.

The data model centers on Teams workspaces, message and file objects, and meeting artifacts, which aligns with Microsoft Graph for programmable access and automation. Extensibility comes through bots, tabs, connectors, webhooks, and Graph APIs that support provisioning and configuration across tenants.