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Rule-Based High-Risk Flu
Sponsor: Geisinger Clinic
Summary
Previous work by the study team has shown that informing patients of their high risk of flu and flu-related complications increases their likelihood of getting a flu shot (Rosenbaum et al., 2026). In this work, an artificial intelligence (AI)-based algorithm determined which patients were at high risk for flu. This year, the team will test whether risk messages remain effective when a non-algorithmic rule-based additive risk index (McGovern et al., 2024) is used to identify patients at high risk.
Official title: Encouraging Flu Vaccination Among High-Risk Patients Identified by a Rule-Based Additive Risk Index
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
51215
Start Date
2026-09-01
Completion Date
2026-09-30
Last Updated
2026-09-02
Healthy Volunteers
No
Interventions
Risk reduction
Mailed letter, patient portal message and/or text message
Locations (1)
Geisinger Health
Danville, Pennsylvania, United States