Vi Engage

Predictive & personalized interactions with patients and providers

Reactive engagement
is costly. Predictive
engagement is 4X
more effective.

Most health organizations still rely on static schedules, manual outreach, and post-dropout campaigns. Without real-time signals and predictive intent, engagement stays reactive, leading to missed reactivation windows, high churn, and low ROI.

Vi Engage transforms reactive outreach
into predictive engagement to increase
retention and LTV

Vi Engage is Vi’s intelligent engagement engine, designed to predict who to engage, when to reach them, and how to drive the best response before the moment is missed.

How it works

01

Fuse consented data into a unified signal

Vi Engage continuously monitors Vi’s Data Web and connects de-identified enterprise data with third-party behavioral data — tokenized, privacy-safe, and consented — to create a living, predictive view of each member.

02

Predict future actions & engagement moments.

Vi Engage’s predictive models identify which patients or providers are most likely to respond and when. This allows outreach to happen at the exact moment intent is highest, before disengagement or churn occurs.

03

Deliver precision outreach at scale

Vi Engage uses multi-armed bandit algorithms to rapidly test different engagement strategies — optimizing for the right channel, content, and timing.

This approach ensures every patient or provider receives the outreach most likely to drive action, delivered with speed and scale.

04

Close the loop with measurable ROI

Every engagement is tracked against LTV, retention, and cost metrics. Models retrain weekly, so precision improves with every cycle.

Driving measurable ROI across leading health enterprises

  0 1 2 3   0 1 2 3 4 5 6 7   %  

Increase in utiliziation

  0 1 2   0 1 2 3 4 5 6   %  

Boost in member retention

  0 1 2 3 4   0 1 2   %

Increase in script lift

  0 1 2 3 4   0 1 2 3   %

Increase in on-site utilization

Trusted by leading global healthcare enterprises

Case Studies

Increasing Member Engagement for National MSK Program

  0 1 2 3 4 5   0 1 2 3 4   %

Uplift in enrollment

  0 1 2 3   0 1 2 3 4 5 6 7   %

Increase in utilization

  0 1 2   0 1 2 3 4 5 6   %

Boost in member retention

A regional payer was experiencing low utilization of preventive care programs and struggling with weak digital touchpoints among eligible members. Vi enabled predictive and personalized nudges through integration with the client’s existing omnichannel communication tools and teams, driving both short- and long-term engagement in a musculoskeletal program that reduced unnecessary spinal surgeries (steered patients away) and improved health outcomes..

Driving Physician Prescribing Behaviors

  0 1 2 3 4   0 1 2   %

Increase in script lift

  0 1 2   0 1 2 3 4 5 6 7 8   %

Increase in new patient adoption

  0 1 2   0 1   %

Reduction in required field force team size

A commercial-stage biopharma company was prioritizing efforts to increase adoption of a rare disease asset. They were leveraging claims data to prioritize field force prioritization and outreach, with the vast majority of providers outreach being too late. Vi was able to leverage Real-time, real world data to drive prioritization of providers proactively to drive script lift and prevent erosion.

Boosting Medicare Wellness Engagement

  0 1 2   0 1 2   %

Increase in virtual class attendance

  0 1 2 3 4   0 1 2 3   %

Increase in on-site program utilization

  0 1 2 3   0 1 2 3 4 5 6 7   %

Increase in Medicare reimbursement

A wellness brand focused on older adults integrated Vi Engage into their virtual and on-site programs. With better nudges and personalization, they saw stronger program usage and qualified for higher Medicare Advantage reimbursement.

Built to power patient engagement at scale

Whether you’re supporting thousands of patients or millions, Vi Engage scales personalized, timely touchpoints across the full care journey.

Increased utilization, reduced attrition

Seamlessly integrates de-identified data with existing communication tools

Personalization & prediction at scale