Clinical Management of Speech and Language Disorders

The new approach for teaching and learning

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Transcription of Disordered Speech Sounds

Transcription skills are essential for speech-language pathologists (SLPs). These skills help identify and transcribe error sounds, analyze the severity of speech sound disorders, and develop effective treatment plans. Ipatrans, a cloud-based teaching system for SLT students, supports teaching activities focused on transcription and sound identification.

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Perception of Disordered Voice

A voice disorder occurs when voice quality, pitch, or loudness differs significantly and is influenced by factors such as age, cultural background, and geographic location. Pervoice, a cloud-based teaching system for the perception of disordered voice, focuses on analyzing patients' imaging (laryngoscope) and sound to enhance SLT students' ability to assess voice disorders.

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The Practice of Clinical Communication

Clinical communication skills are crucial for speech-language pathologists (SLPs). Clicomm, a cloud-based teaching system, assists in teaching and learning clinical communication skills. Through practice with this system and course, students gain confidence and reduce anxiety when interacting with actual patients during internships.

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The Script Concordance Test

The Script Concordance Test (SCT) is an evolving tool designed to assess clinicians’ reasoning abilities. It could be useful in exploring the dynamic decision-making process when diagnosing and treating speech-language impairments. The present study aimed to establish the first SCT focused on evaluating speech sound disorders (SSD) and investigated the impact of clinical experience on clinical reasoning and decision-making skills in assessing SSD.

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Framework for Diagnosis of Speech Sound disorders

This research aims to develop a diagnostic framework that provides comprehensive decision-making indicators and processes for diagnosing speech sound disorders. By utilizing advanced AI technologies and models, the framework will analyze data to enhance diagnostic accuracy and efficiency. It will present these decision-making considerations and processes as a tree-like option system, serving as an auxiliary tool for diagnosing speech sound disorders.