Using Non-Flu Data to Improve Vaccination Rates
Flu vaccinations have declined 3.4% over the past six years for adults over age 65. One plan wanted to reverse this trend and improve flu vaccination rates for Medicare members. They engaged MedOrion to run a flu program for 225,000 members over a six-month period from October 2025 to March 2026 across a continuously shifting population. This program was designed with a matched control group and saw an overall 1.8% improvement in vaccination rate for the “test” population. MedOrion segmented the population using its proprietary behavioral analysis to target individuals based on motivators to act.
Adherence Rate by Decision Factor
Behavioral segmentation drove the individualized approach, with vaccination rates reflecting how well each segment responded to MedOrion messaging over time. For example, the “At Risk” segment had a 41% adherence rate, despite representing just 13% of the population.
Adherence by Decision Factor
| Healthy | Active | 42% |
| Protection of Others | 42% |
| At Risk | 41% |
| Low Trust | 27% |
| Self-Efficacy | 34% |
The Results
MedOrion’s test group achieved a 29.1% vaccination rate versus the control group’s 27.4% rate. When looking at performance by risk group, for the Top PCT group, the test group achieved a 45.2% rate vs the control’s 42.3% and for the Bottom PCT, the test group achieved a 13% rate versus the control’s 11.7% rate.
Our Signal-Based Approach
MedOrion improves your Star ratings through individualized member outreach at scale. Our Electronic Behavioral Record (EBR) combines real-time clinical, behavioral and situational signals with AI-assisted prioritization to create a precise profile of each member. Rather than static, pre-defined journeys, we help you understand why your members are not seeking care and then address their individual barriers. The result is an improved member experience and better health outcomes.
