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April 16, 2023

Stuttering Therapy with ChatGPT

As a graduate course instructor gearing up to teach my first course in the ChatGPT era, I’ve wondered how students, novice clinicians, and clinical generalists (those without expertise with a specific clinical population) might rely on generative AI to fill in knowledge gaps and generate ideas for therapy. Speech-language pathology has an enormous scope of practice with constantly updating research, making it practically impossible for an average clinician to keep up with best practices in any one area. And if you do try to dive in to refresh your knowledge, it’s difficult to find your footing in a sea of information. 

If we start relying on tools like ChatGPT to filter through the noise and bubble up the key ideas, will this facilitate more evidence-based practice? Or will we be at risk of continuing the old mistakes, if that’s the bulk of the Internet’s text-based corpus?

With just a few weeks until class starts, I decided to test this out myself!

This post covers:

- The importance of prompts quality and asking the right questions
- Treatment planning prompts examples and responses
- Evaluation of ChatGPT output
- How to ensure evidence-based practice while using AI
- Implications for clinical educators

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June 24, 2020

Bridging the Treatment Gap: Research Trends and the 3Es Model

We at speech IRL were proud to unveil our 3Es model in a recent post as our overarching “approach” to speech therapy. With the knowledge that each client has a unique and nuanced set of needs, the process of identifying goals and planning treatments had always eluded a uniform step-by-step formula—until now. The 3Es supramodel (Education, Ease, and Empowerment) is broad enough to encompass all other therapy approaches, yet practical enough to help clinicians and their clients identify values-based goals and then plan specific treatments to reach those goals. A successful application of the model will create an accessible, robust, and structured “menu” of activities that can be flexibly combined throughout the course of treatment.

The need for a new supramodel became abundantly clear when we took a close look at research trends and developments from the last decade and noticed that most of it was not accounted for in a current therapy model. In this post we will provide some background information on the models that informed the 3Es, then take a dive into the research trends that we believe the 3Es model accounts for in ways that other treatment approaches have been insufficient.

If you love stuttering research, join us on July 14th for our next Dine & Development, where Courtney Luckman and Natalie Belling will summarize the latest and greatest in our trademark informal, conversational learning format. Eligible for ASHA CEUs!

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