How AI Can Improve Early Hearing Detection and Intervention for Infants

This article discusses how AI and automation can improve Early Hearing Detection and Intervention (EHDI) programs in the United States. It highlights the challenge of manual data entry for audiologists reporting to state EHDI programs and how replacing this with more efficient systems can help ensure infants who are deaf or hard of hearing are screened by one month, diagnosed by three months, and connected to early intervention services by six months.

14d ago3 min readenNews

technology health

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Key quotes

Replacing manual data entry with more efficient and timely systems helps protect the early intervention window and ensures no child misses out on connections to care.

Early Hearing Detection and Intervention programs in the United States rely on timely, accurate reporting so infants who are deaf or hard of hearing can be screened by one month, diagnosed by three months, and connected to early intervention services by six months.

Across the U.S., there is an opportunity to enhance the reporting process for audiologists to state Early Hearing Detection and Intervention programs.

From the article

Closing the Gap in Early Hearing Detection with AI A sleeping newborn undergoes a hearing test in the hospital. U.S. audiology programs aim to screen infants who are deaf or hard of hearing by the time they are 1 month old. Photo courtesy of Midkhat Izma

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