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NOT YET RECRUITING
NCT07798882
NA

Rule-Based High-Risk Flu

Sponsor: Geisinger Clinic

View on ClinicalTrials.gov

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

BEHAVIORAL

Risk reduction

Mailed letter, patient portal message and/or text message

Locations (1)

Geisinger Health

Danville, Pennsylvania, United States