About the Webinar:
Are you ready to work smarter, not harder with AI (Artificial Intelligence) driven solutions?
Location: Live Webinar
Speech-Language Pathologists (SLPs) are talking about and requesting information about how to utilize AI into their practice.
The last American Speech-Language-Hearing Association (ASHA) Convention included 64 sessions on AI.
According to a search on the ASHA website there were 87 sources in Journals and Perspectives listed about AI for the last two years of 2024 and 2025.
Over half of the attendees of the last WSLHA March continuing education event requested an AI course.
Students, SLP Assistants (SLPAs), Associate Members, SLP Clinical Fellows (SLPCFs), SLPs/Audiologists (AuDs), Life Members, and Psychologists:
PLEASE join us for a 3-hour webinar filled with the latest information about AI and helpful tips and tricks on embedding AI into your clinical practice.
Therapy Bytes: How AI is Changing the Game for SLPs
Three back-to-back presentations:
AI and Interoperability in Healthcare: Implications for Your Bottom Line by Rebecca Bowen M.A., CCC-SLP, PNAP, CAE and Evan Reid, MPP
AI: Your New Best Friend for Working Smarter, Not Harder by Nichole Bailey, SLP.D., CCC-SLP, ASHA BCS-CL
Application of Automatic Speech Recognition in Speech Sound Disorder by Ng Wing Yee Cymie, PhD, MMedSc, BSc
Cost: $99 for WSLHA members. $130 Non-members.
Refunds: Cancellations made at least 3 days before the event will receive a full refund, minus a $3 processing fee. No refunds will be issued for cancellations made after this deadline.
Satisfactory Completion: In order to be reported for ASHA CEUs and receive a WSLHA course Certificate of Attendance, each registrant MUST register, attend or attest to viewing the entire course session, and complete the learner outcome assessment and course evaluation within two weeks of the course.
Registrants: Please indicate any special needs for which you would like accommodation during registration e.g. related to sensory (hearing, vision, or tactile support, etc.), physical limitations (mobility issues, chronic pain, etc.), learning disabilities, cognitive impairments, communication difficulties (speech impediments, language barriers, etc.), mental health concerns (anxiety, depression, etc.), neurodiversity (autism spectrum disorders, etc.), closed captioning, dietary or facility access needs, etc.).
AI and Interoperability in Healthcare: Implications for Your Bottom Line
Presenter: Rebecca Bowen M.A., CCC-SLP, PNAP, CAE
Rebecca Bowen is a licensed and certified speech-language pathologist with more than a decade of experience working with individuals with communication, cognition, and swallowing disorders across the lifespan. In 2019, she joined the National Center for Evidence-Based Practice at the American Speech-Language-Hearing Association (ASHA) where she developed tools, resources, and clinical practice guidelines to steer assessment and treatment in audiology and speech-language pathology. She currently serves as ASHA’s Director of Health Care Policy, Value, and Innovation and focuses on analyzing and refining value-based care policy and advancing ASHA’s public policy agenda. In addition, she serves on ASHA’s Diversity Team, as well as the chair of the Healthcare Advisory Committee for the American Society of Association Executives, developing priorities and sharing knowledge with dozens of healthcare associations representing a wide variety of disciplines and medical specialties.
Evan Reid, MPP
Evan Reid is the Senior Director of Analytics at the American Speech-Language-Hearing Association (ASHA). An experienced data scientist (read: data nerd) and thought leader with a passion for transforming data into actionable insights, Evan specializes in building robust data cultures, helping organizations develop complex, accurate models of their members, and always knowing the best place to get a taco. His expertise includes data visualization, data collection and processing, program evaluation, and AI experimentation. At ASHA, Evan leads a high-performing analytics team, driving initiatives that empower the organization to leverage their data assets for strategic decision-making. Before working with ASHA, Evan was a Data Manager at Westat. Evan holds a master’s degree in public policy from The George Washington University.
Abstract: Electronic health record interoperability and AI have the potential to improve the quality of patient care while reducing administrative burden and costs, but what does that mean for audiologists and speech-language pathologists? Get a primer on health care interoperability, AI, its clinical applications, new regulations and how its use on both the clinician and payer side could impact your bottom line.
Intermediate Level
Presenter Disclosures:
Financial: Rebecca Bowen and Evan Reid are ASHA employees for which they receive a salary and will receive a registration waiver from WSLHA to attend a future continuing education course.
Non-financial: Rebecca Bowen is a member of ASHA. Evan Reid serves on the Technical Professionals Advisory Council for American Society for Association Executives (ASAE).
AI: Your New Best Friend for Working Smarter, Not Harder
Presenter: Nichole Bailey, SLP.D., CCC-SLP, ASHA BCS-CL
Nichole Bailey has been a practicing clinician for over 30 years. She works with adolescents in the school setting and as an adjunct professor at Longwood University. Working full-time as a busy school-based clinician, Nichole routinely uses artificial intelligence (AI) to create personalized materials and activities for the students on her caseload. She is passionate about the use of AI platforms to create individualized materials for her students’ therapy goals and for the potential that AI has to transform the workload of speech-language pathologists in all settings. Nichole continuously seeks AI professional development and research to stay current in the rapidly evolving field of AI and the ways it can benefit the field of speech-language pathology.
Abstract
Artificial Intelligence (AI) can reduce workload demands, increase productivity, and enhance the quality of treatment materials and activities across clinical settings and populations. However, many SLPs feel overwhelmed and unsure how to incorporate AI into clinical practice. This presentation will provide a deeper understanding of AI and discuss its potential to develop individualized lessons and materials. Best practices for managing the limitations of AI platforms and addressing ethical considerations will be discussed. Strategies and specific AI platforms will be demonstrated to provide novice and intermediate users the tools and confidence needed to partner with AI in the workplace.
Introductory Level
Presenter Disclosures:
Financial: Nichole Bailey will receive a registration waiver from WSLHA to attend a future continuing education course. She is employed through Longwood University and Forsyth County Schools in Georgia.
Non-Financial: None.
Application of Automatic Speech Recognition in Speech Sound Disorder
Presenter: Ng Wing Yee Cymie, PhD, MMedSc, BSc
Dr. Cymie Ng is currently an Assistant Professor of Practice of the Speech Therapy Unit in the Department of Chinese and Bilingual Studies of the Hong Kong Polytechnic University. She obtained her Bachelor of Science in Speech and Hearing Sciences degree from the University of Hong Kong and qualified as a speech therapist. She later received her Master of Medical Sciences degree from the University of Hong Kong and her Ph.D. in Surgery from the Chinese University of Hong Kong. Cymie has a major focus of research in speech sound disorders and clinical applications of speech recognition in speech therapy. She has presented in international scientific conferences and published clinical materials and has a strong passion for contributing to the speech therapy profession. She has served as a clinical educator for various local speech therapy programs through her current employment in The Hong Kong Polytechnic University as Assistant Professor of Practice.
Introductory Level
Abstract:
High-quality assessment and intervention planning is essential with children with Speech Sound Disorder (SSD), but often SLPs don’t have time to transcribe and analyze speech samples due to busy workloads. While speech-to-text technology has developed rapidly in recent decades and been widely applied in our daily life, researchers are just now starting to think about how Automatic Speech Recognition (ASR) technology can be used to transcribe the speech of children with SSD. In this presentation, the effectiveness of a cross-disciplinary collaboration to develop the use of ASR with atypical speech patterns will be described and discussed.
Presenter Disclosures:
Financial: Dr. Cymie Ng will receive a registration waiver from WSLHA to attend a future continuing education course. She is employed full-time at The Hong Kong Polytechnic University. Her research was partially supported by a direct grant and a Research Sustainability Fund from the Research Committee of The Chinese University of Hong Kong, as well as the financial support by the Hear Talk Foundation under the project titled, “Speech Analysis for Cantonese Speaking Children”.
Non-Financial: None.
Agenda:
(1:00-2:00pm) 1 - AI and Interoperability in Healthcare: Implications for Your Bottom Line presented by Rebecca Bowen M.A., CCC-SLP, PNAP, CAE and Evan Reid, MPP
1:00-1:05pm Introductions
1:05-1:10pm Discuss knee-jerk reaction to term AI
1:10-1:20pm AI background, how it works
1:20-1:30pm Current clinical uses (focus on documentation/interoperability)
1:30-1:50pm Use in payment
1:50-2:00pm Question & Answer
(2:00pm-2:05pm) Break
(2:05-3:05pm) 2 - AI: Your New Best Friend for Working Smarter, Not Harder presented by Nichole Bailey, SLP.D., CCC-SLP, ASHA BCS-CL
2:05-2:10pm Introduction, Session Overview, & Background
2:10-2:15pm Ethical Consideration & Best Practices
2:15-2:55pm Use of AI Platforms for Creating Materials and Reducing Workload
2:55-3:05pm Session Wrap up, Question & Answer
3:05-3:10pm Break
(3:10-4:10pm) 3 - Application of Automatic Speech Recognition in Speech Sound Disorder presented by Ng Wing Yee Cymie, PhD, MMedSc, BSc
3:10-3:20pm Introduction to Automatic Speech Recognition (ASR)
3:20-3:40pm Application of ASR in detecting Speech Sound Disorders (SSD)
3:40-4:00pm Current research findings in different languages
4:00-4:10pm Future direction and Question & Answer
4:10-4:15pm Three-part Session Wrap Up, Question & Answer
Three-part Course Learning Objectives:
Participants will be able to:
Describe ways your practice or facility can integrate AI technology to lower administrative burden and/or improve quality.
Describe 3 prompts using AI to create therapy lessons and materials based upon individualized workload needs.
Define Automatic Speech Recognition (ASR).
This program will be recorded for later viewing up to 14 days following the workshop. You must register before the event. WSLHA will send out a link to the recording to those who registered after the live session.
Various Levels – 0.3 ASHA CEUs
ASHA CE Provider approval and use of the Brand Block does not imply endorsement of course content, specific products, or clinical procedures.
There will be a total of two 5 minute breaks for a total of 10 minutes of break time included but attendees cannot earn CEUs for the break duration.
WSLHA charges a processing fee of $5.00 for ASHA CEUs ($7.00 non-members).
OSPI Clock Hours – 3 hours. OSPI clock hours available through ESD 113 by registering at https://www.pdenroller.org/ prior to the event from ESD113. Fees may apply.
ASHA CEUs must be purchased separately and in addition to the course registration fee prior to the event. OSPI clock hours must be purchased separately prior to the event from the ESD 113. You still must register and pay for the course through WSLHA.
Resolution of Complaints: WSLHA is committed to providing high-quality Continuing Education (CE) programs and encourages participants to submit written complaints within 3 days of program completion to office@wslha.org. Complaints will be reviewed promptly and a response outlining any resolutions or corrective actions will be provided within 5 business days.
