Geisinger Clinic
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.
While most individuals recover from influenza without complications, certain populations-including older adults and those with underlying medical conditions-are at increased risk for severe outcomes such as pneumonia, other respiratory complications, and death. Identifying these high-risk patients is therefore important for targeting outreach and improving vaccination uptake. Over the past three influenza seasons, Geisinger has sent as standard of care messages to patients identified as high risk for flu and flu-related complications, informing them of their risk and encouraging vaccination.…
Inclusion Criteria: * Age 18 or older * Has four or more CDC risk factors for influenza reflected in EHR data * Has a primary care physician employed by Geisinger * Attended at least one appointment at Geisinger between 7/17/2024 and 7/16/2026 * Attended at least one primary care appointment at Geisinger between 10/1/2008 and 7/16/2026 Exclusion criterion: \- Attended an appointment at Community Care between 9/1/2024 and 7/16/2026
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