🤖 Rural Telehealth AI Pre-Screening Simulator

Reaching Patients Where Care Is Scarce

Rural clinics sit hours away from many patients.

• 60M+: Rural Americans (live far from specialty care)
• 34 mi: Avg specialist drive (one-way rural travel distance)
• 150+: Rural hospital closures (since 2010 nationwide)
• 38%: Telehealth share of visits (now conducted virtually)

Why rural access lags

Specialists cluster in cities, leaving rural counties underserved.

Some rural counties share a single primary-care doctor.

The telehealth front door

A phone or tablet becomes the entry point to care.

AI as the first triage layer

Software gathers context before any clinician gets involved.

Pre-Screening Questionnaire & Vitals Capture

The AI asks guided questions to build a case file.

• 12: Avg questionnaire length (adaptive symptom questions)
• ~40%: Home vital devices used (of rural patients own one)
• 3 min: Completion time (typical patient intake)
• 8: Symptom fields captured (structured data points)

Adaptive questioning

Each answer shapes which question the AI asks next.

Branching logic trims a long form down to essentials.

Vitals when available

Home pulse oximeters and cuffs feed data automatically.

Building the case file

Symptoms and vitals compile into one structured summary.

Bandwidth & Connectivity Assessment

Rural broadband gaps decide which visit format actually works.

• ~72%: Rural broadband access (below urban coverage rates)
• 500 kbps: Min video bitrate needed (for stable video call)
• ~40 kbps: Audio-only fallback works at (minimal signal required)
• 3×: Dropped-call rate, rural (higher than urban areas)

Measuring the real connection

The system pings for latency, jitter, and available bandwidth.

A weak signal quietly rules out video before it starts.

Signal bars as a decision input

Bandwidth becomes a hard input to the routing logic.

Planning around outages

Cellular relays and satellite links are checked as backup.

Modality Recommendation Engine

Urgency and bandwidth together decide the visit format.

• Urgency ≥3: Video call threshold (and good bandwidth)
• Weak signal: Audio fallback trigger (regardless of urgency)
• Urgent case: In-person referral trigger (overrides connection quality)
• >90%: Modality accuracy target (matched to clinician review)

Three possible pathways

Video, audio-only, and in-person referral are the outcomes.

Severe symptoms always route to in-person, signal or not.

Balancing urgency against bandwidth

Low bandwidth downgrades video visits to audio-only calls.

A transparent recommendation

Clinicians see the reasoning behind each suggested modality.

Consultation Prioritized & Queued

The finished case is ticketed and ranked for review.

• 5: Priority tiers (from Routine to STAT)
• <2 min: Avg time to clinician view (for high-priority cases)
• 100s: Cases auto-sorted daily (across a rural network)
• −45%: Missed urgent cases (with AI-assisted triage)

Issuing the ticket

A structured ticket carries symptoms, vitals, and modality.

Nothing reaches the clinician without its priority label attached.

Sorting the queue

Urgent tickets jump ahead of routine, lower-priority cases.

Handoff to the clinician

The care team opens a pre-screened, ready-to-review case.