How to Build a Telehealth Video Platform: Architecture, Compliance, UX & Cost
Blog post from Video SDK
A telehealth video platform encompasses more than video calls, combining appointment scheduling, identity verification, server-minted access tokens, encrypted media transport, recording and storage, EHR integration, and append-only audit logging to carry an encounter from booking to a signed clinical note. The text distinguishes finished telehealth products from embeddable media APIs such as VideoSDK, Daily, LiveKit, and Amazon Chime SDK, emphasizing that APIs provide customization but require teams to build patient workflows and clinical integrations themselves. WebRTC supplies browser-based encrypted media, network traversal, and adaptation to poor connections, but does not provide signaling, identity, recording, compliance, or clinical-system integration. Patient adoption depends heavily on browser-first access, meaningful pre-call device checks, clear camera-permission recovery instructions, connection indicators with audio-only fallback, and easy rejoining after disconnection. For US deployments, HIPAA-related requirements include BAAs with PHI-handling vendors, encryption, role-limited short-lived tokens, provider-controlled recording storage, region controls where needed, and retained audit trails; SFU-based calls are generally encrypted hop by hop rather than end to end. The text also notes that VideoSDK’s HIPAA mode disables its built-in AI transcription, captions, and summaries, requiring compliant organizations to operate their own BAA-covered AI pipeline if they need those capabilities. Using the stated rates, a model of 2,000 monthly 30-minute two-person HD appointments costs about $1,278 with recording, first-month storage, post-call transcription, and summaries, while recording and accumulating storage can exceed media costs over time.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 5 | 649 | 155 | 80 | -85% |
| LLM | 2 | 747 | 162 | 79 | -85% |
| Voice AI | 2 | 324 | 41 | 16 | -89% |
| Observability | 1 | 472 | 102 | 54 | -85% |
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