Explainable Machine Learning for Public Health Informatics in HEDIS Childhood Immunization Status Combination 10

Online Journal of Public Health Informatics · Published 2026-07-21 · DOI 10.2196/90241

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Authors (1)

JiaLi Ruan

Abstract

AbstractCompletion of the HEDIS (Healthcare Effectiveness Data and Information Set) Childhood Immunization Status Combination 10 (Combo 10) measure among US children aged 24-35 months declined from 53.7% in 2021 to 44.6% in 2023, with a statistically significant survey-weighted annual trend. An explainable machine learning approach identified influenza vaccination and rotavirus series completion as the strongest component-level drivers of Combo 10 completion, supporting targeted public health quality improvement.

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Publication details

Year

2026

Citation

Ruan, J. (2026). Explainable Machine Learning for Public Health Informatics in HEDIS Childhood Immunization Status Combination 10. Online Journal of Public Health Informatics. https://doi.org/10.2196/90241

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