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How to Build a Telehealth Video Platform: Architecture, Compliance, UX & Cost

Blog post from Video SDK

Post Details
Company
Date Published
Author
Video SDK Team
Word Count
4,626
Company Posts That Month
12
Language
English
Hacker News Points
-
Post removed?
No
Summary

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.

Trends Found in this Post
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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