Bright.md

What it does

Bright.md is an AI-native asynchronous telehealth platform - patients complete a structured, conversational AI interview about their symptoms and medical history on their own schedule, and the AI generates a complete clinical assessment summary for the provider to review, approve, and act on without requiring a synchronous video visit. For many primary care complaints - UTIs, sinus infections, medication refills, dermatology - AI-guided async care is clinically equivalent to a synchronous visit, dramatically more efficient for both patient and provider, and available 24/7. Bright.md's AI adapts the clinical interview dynamically based on patient responses, asking follow-up questions when needed and producing a structured SOAP note with diagnosis and treatment recommendations for provider review.

Strengths

• Health systems, employer health programs, and payers use Bright.md for AI-powered async care delivery - extending provider capacity for appropriate low-acuity conditions without requiring appointment-based synchronous visits.
• Bright.md is an AI-native asynchronous telehealth platform - patients complete a structured, conversational AI interview about their symptoms and medical history on their own schedule, and the AI generates a complete clinical assessment summary for the provider to review, approve, and act on without requiring a synchronous video visit.
• For many primary care complaints - UTIs, sinus infections, medication refills, dermatology - AI-guided async care is clinically equivalent to a synchronous visit, dramatically more efficient for both patient and provider, and available 24/7.

Watch-outs

• Limited to appropriate low-acuity conditions: Bright.md's async AI interview is clinically appropriate for a defined set of conditions — complex, multi-system, or potentially serious presentations still require synchronous evaluation and cannot be safely managed through asynchronous AI intake.
• Provider review required for all care decisions: Bright.md's AI generates assessment summaries but licensed providers must review, approve, and sign all care decisions — the AI does not autonomously diagnose or prescribe without provider oversight.
• Patient adoption requires workflow integration: Async care succeeds when integrated into the patient-facing health system experience — standalone async care tools with poor health system integration see lower patient adoption than those embedded in existing patient portals.

Pricing

Bright.md enterprise contracts based on patient volume and health system scope. Not published. Typically structured as per-encounter or PMPM fees for health system and employer deployments.