Vivistim AI Program

AI Program Control Panel

Real-time visibility into Mobia Medical's AI-powered patient engagement initiatives across the Vivistim commercial and clinical lifecycle.

2 Live Use Cases
4 In Pipeline
Updated March 31, 2026
!
What Changed This Week
UC3 — LTFU Now Live
1-year post-implant survey launched. 161 patients reached, 64% clicked, 42% completed. Second batch of reminders deployed — engagement climbing toward 70% click / 50% completion.
Prior Auth RFP Launched
Light RFP for intake and downstream workflow support sent to vendors including internal build option. Leaning internal for phase one but validating external options.
UC2b — QR Referral Survey
Go-live targeting next week. Quick-deploy referral survey via QR code for in-office use.
Program at a Glance
Six AI use cases spanning the Vivistim patient lifecycle — from lead readiness through long-term follow-up
UC1
Live
BMF Readiness Agent
Digital agent deployed after DTC survey to prepare patients before BMF call, improving connection rates and reducing call attempts.
UC3
Live
Long-Term Follow-Up
Digital survey for 1yr+ post-implant patients — replaces manual case manager outreach to learn what patients need and build a scalable operation.
UC2
Adjusting
Eligibility Experience
Embedding AI agent within the landing page as an A/B test vs. the existing online survey. ~2 month go-live.
UC4
Paused
DTC Self-Navigation
Patient self-navigation pathway. Paused while UC2 engagement is better understood.
UC5
Planned
CN/Referral Workflow
Automation of clinical nurse and referral workflows. Kickoff in ~2 weeks post-UC2 design finalization.
UC6
Planned
Inbound Voice Pilot
BMF-staffed inbound voice pilot. Internal approval pending — targeting 2-3 week pilot launch.
Use Case 1 — Live since November 6, 2025
BMF Readiness Agent
A digital agent deployed after DTC survey completion that prepares patients before the BMF call — resulting in dramatically better connection rates, faster appointment booking, and fewer call attempts.
2x
Higher Connection Rate
LifeLink 24.2% vs Non-LifeLink 9.6%
5x
Fewer Attempts to Book
LifeLink 4 vs Non-LifeLink 21 attempts
4 days
First Phone Connect
vs 5 days for non-engaged leads
87%
Patient Satisfaction
337 of 386 patients rated positive
💡 Why This Matters

The question isn't whether these patients would eventually connect — it's how many humans you need to make that happen, and what happens to conversion downstream. LifeLink-engaged patients book appointments with 5x fewer call attempts. As DTC volume scales, that's the difference between adding headcount and not. And early data shows a 7x improvement in UEDX (diagnostic) conversion for LifeLink patients — suggesting the agent isn't just shortening time, it's improving quality of engagement. Patients who complete both DTC qualification surveys engage with the agent at 2x the rate of those who only complete one (20% vs 10% completion), reinforcing that the digital funnel compounds — each touchpoint amplifies the next.

Metric LifeLink (Agent-Engaged) Non-LifeLink Difference
Call Connection Rate (Mar '26) 24.2% 9.6% +152%
First Call Connect (Unique Lead) 20.0% 9.0% +122%
Days to First Phone Connect 4 days 5 days 20% faster
Avg Attempts to Book Appointment 4 attempts 21 attempts 5x fewer
Appt Booked on First Attempt 14 1 14x
Use Case 3 — Live since March 18, 2026
Long-Term Follow-Up Program
A digital-first approach to post-implant patient check-ins. Rather than hiring case managers to call every patient, we learn what patients actually need through AI — then staff accordingly. Three survey conversations span the patient journey from implant through one year.
161
Patients Reached
Conversation 3 (1yr post-implant)
64%
Click Rate
103 of 161 patients clicked in
42%
Completion Rate
67 completed full survey
86%
Patient Satisfaction
50 of 58 patients rated positive
💡 Why This Matters

Mobia knows a long-term follow-up program is needed but has been reticent to hire a team of case managers to make calls. This approach flips the model: deploy AI first, learn what patients actually need, then staff accordingly. Early results validate the approach — 64% of 1yr+ post-implant patients engaged digitally, and of those who completed, 38% flagged unresolved issues. Of those, 71% requested a callback. That means instead of calling all 500 patients blindly, the team now knows exactly which 20 patients need a human — and what they need help with. The survey also captures therapy satisfaction, ease of use, and caregiver information — data that would take weeks of phone calls to collect. Average time from notification to completion: just 1.1 days.

Three-Conversation Patient Journey

CONVERSATION 1
Welcome
3 days post-implant
Designed — Not yet deployed
CONVERSATION 2
Mid-Therapy
20 days post-first therapy
Designed — Not yet deployed
CONVERSATION 3
1-Year Survey
1 year post-implant
LIVE — 161 patients reached
Pipeline
Upcoming Use Cases
Four additional AI initiatives spanning eligibility, self-navigation, clinical workflows, and voice — each designed to extend Mobia's digital patient engagement model.
UC2
Adjusting
Eligibility Experience
Current standalone solution paused. Pivoting to embed the AI agent directly within the landing page as an A/B test vs. the existing online survey. Most work is focused on landing page updates.
Improve eligibility conversion
~2 month go-live
UC2b
Next Week
QR Referral Survey
Quick-deploy QR-based referral survey for in-office use. Simple, fast path to capturing referrals digitally.
Capture in-office referrals
Go-live next week
UC4
Paused
DTC Self-Navigation Pathway
AI-guided patient self-navigation from initial DTC engagement through evaluation. Paused until UC2 engagement patterns are better understood — the two are closely linked.
Dependent on UC2 learnings
UC5
~2 Weeks
CN/Referral Workflow Automation
Automating the clinical nurse and referral workflow to reduce manual handoffs and speed up the path from referral to evaluation.
Reduce manual workflow
Kickoff after UC2 design
UC6
Pending Approval
Inbound Voice Pilot
BMF-staffed inbound voice pilot to handle patient calls with AI assist. Internal approval pending.
AI-assisted inbound calls
2-3 week launch target
RFP
Active
Prior Authorization Workflow
Light RFP initiated for intake and downstream PA workflow support. Materials sent to vendors including internal build option. Leaning internal for phase one.
Streamline prior auth
Evaluating responses