UC31: Telehealth Technical Support

The Problem

Elderly and non-technical patients struggle with video visit setup. A patient scheduled for a telehealth visit calls the clinic 15 minutes before the appointment unable to access the video link; they do not understand how to allow camera/microphone permissions. Manual technical support from clinic staff is time-consuming; many patients miss visits due to technical barriers, leading to cancelled appointments and revenue loss.

What the Agent Does

Receives patient contact information and visit link; initiates proactive outreach 24 hours before visit (SMS, email, or call)
Guides patient through device setup: confirms device type (smartphone, tablet, computer), browser compatibility (Chrome, Safari, Edge)
Walks patient through technical pre-checks: camera/microphone access, internet connection speed test, audio/video quality verification
Troubleshoots common issues: browser permissions, firewall blocks, network lag, audio echo
Provides fallback option: if technical setup fails, offers phone-only visit or in-person rescheduling
Confirms patient is ready for visit 5 to 10 minutes before appointment; confirms physician is ready to join

Data Requirements

Data Sources:

Telehealth Schedule (Epic MyChart Video, Doxy.me, Zoom for Healthcare) , Upcoming visits, patient contact info, visit links, visit times
Patient Demographics , Age, preferred language, technology literacy (optional assessment at registration)
Device/Browser Database , Supported devices, OS versions, browser compatibility matrix
Telehealth Platform APIs , Visit join URLs, visit status (started, ended)
Technical Support Workflows , Troubleshooting scripts for common issues

Data Classification:

Telehealth schedule: Sensitive, Internal, Structured
Patient contact info: Sensitive, Internal, Structured
Device/browser data: External, Structured
Platform APIs: External, Structured

Data Quality Requirements:

Telehealth schedule: updated 24 hours in advance of visits
Patient contact info: verified at check-in; phone/email validated
Device/browser data: updated quarterly with new OS/browser releases
Platform APIs: real-time integration; uptime >99%

Integration Complexity: Medium

Telehealth platform API (Epic MyChart Video, Doxy.me, Zoom for Healthcare APIs)
SMS/email gateway for outreach
Conversational voice/chatbot agent for technical troubleshooting
Connection speed test tool (Speedtest.net API or similar)
Audio/video quality verification tool (browser-based)

Score Breakdown

Criterion	Weight	Score (1-5)	Weighted
Time Recaptured	15%	4	0.60
Error Reduction	10%	4	0.40
Cost Avoidance	10%	4	0.40
Strategic Leverage	5%	3	0.15
Data Availability	15%	4	0.60
Process Clarity	15%	4	0.60
Ease of Implementation	10%	3	0.30
Fallback Available	10%	3	0.30
Audience (Int/Ext)	10%	3	0.30
Composite	100%		3.50

Why It Scores Well

Telehealth technical support improves patient access and reduces no-show rates. Even a 5% reduction in telehealth no-shows reclaims significant revenue; elderly/non-technical populations benefit most from proactive support. The data is structured (schedule, device compatibility); troubleshooting logic is rule-based. Outcomes are easily measured (visit completion rate, technical issue resolution time).

Regulatory Alignment

HIPAA: Telehealth platform must be HIPAA-compliant; patient contact data is PHI
State Telehealth Licensure: Some states restrict which providers can offer telehealth; physician must be licensed in patient's state
ADA (Americans with Disabilities Act): Video visits must be accessible (captions, audio description, alternative formats)
FDA Guidance: Telehealth devices may be subject to FDA regulation (e.g., diagnostic devices used during visit)

Sprint Factory Fit

Sprint 0 (2 weeks) + 2 build sprints (4 weeks)

Telehealth technical support is on-demand, event-triggered by upcoming visits. The initial 2-week sprint focuses on proactive outreach and common troubleshooting workflows; a second sprint adds interactive audio/video pre-checks and fallback options. This is a medium-complexity use case suitable for patient engagement teams.

Comparable Implementations

Deploy This Use Case with the Sprint Factory

From zero to a governed, production agent in 6 weeks.

Sprint Factory Schedule a Briefing

Related Use Cases

Real-Time Clinical Operations

Bed Management "Traffic Controller"

Score: 4.15/5.0

Batch Clinical Operations

Staffing & Nurse Ratio Optimiser

Score: 3.8/5.0

Batch Clinical Operations

Physician Schedule Optimiser

Score: 3.8/5.0

Governance Risks to Consider

Before deploying this use case, review these agentic AI risks from the Corvair Risk Catalogue. Each is scored on the DAMAGE framework and mapped to regulatory expectations.