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Presenter(s): Caroline Bergner, Esq.; Bill Knudsen
Credit(s): PDHs: 1.5, ASHA CEUs*: 0.15
Summary: This webinar will cover what audiologists and SLPs need to understand about the Health Insurance Portability and Accountability Act (HIPAA) and the Family Educational Rights and Privacy Act (FERPA). Speakers will identify who is subject to these laws as well as their regulatory and other compliance requirements. Learners will gain insights into the basic principles of both laws as well as potential pitfalls in their professional practice. Through case studies, learners will explore practical scenarios illustrating compliance challenges and strategies.
Presenter(s): Rebecca Witmer, LCSW; Kaitlyn Mulray, MS, CCC-SLP; Melissa Ferrello, AuD, CCC-A
Credit(s): PDHs: 1.0, ASHA CEUs*: 0.1
Summary: TMPRSS3 is a genetic variant associated with either progressive or congenital bilateral sensorineural hearing loss. Through case studies, this live webinar (June 5, 2024, 2-3 p.m. ET) will address multidisciplinary management spanning from diagnosis of hearing loss to cochlear implantation. The presenters will share relevant education for professionals working with children with hearing loss.
Credit(s): PDHs: 6.0, ASHA CEUs*: 0.6
Summary: This journal self-study course compares language performance in children with and without cochlear implants from preschool to 6th grade. The articles examine levels of language from phonology to prosody, offering insights into areas of strength and weakness as well as clinical directions. The first article examines consonant acquisition patterns based on hearing exposure. The second and third articles compare morphosyntactic, lexical, and phonological awareness profiles, the effect of literacy on each language skill, and types of errors produced in school-age children with and without cochlear implants. The fourth article explores differences in word-learning strategies that could affect lexical development and offers clinical suggestions based on these findings. The final article explores children’s abilities to discriminate emotional intent based on suprasegmental characteristics in the speech signal.