Improving the Assessment of ADHD in Youth: Introducing the Conners 4 & Artificial Intelligence vs. ADHD: Predictive Analytics, Diagnostics, and Therapeutics Through Wearables
Improving Lifespan Assessment of ADHD: Introducing the Conners w/ Janelle Bierdeman and Mathangi Selvamenan:
Since the publication of the Conners 3rd Edition (2008), the science for the evaluation of symptoms associated with ADHD has advanced to include its dimensional nature, the importance of considering impairment and other problem areas beyond DSM symptom criteria (e.g., problems with emotion regulation and executive function), and the persistence of symptoms and impairment from childhood to adulthood. The Conners 4th Edition (Conners 4) was developed to continuously align with the fields’ improving understanding of the disorder.

This presentation will outline the changes that have been incorporated into the Conners 4 revision, including the integration of measures for impairment and functional outcomes, within-profile comparisons that allow the evaluation of relative strengths, and critical items for the analysis of severe conduct, self-harm, and sleep problems. The presentation will also use a sample case study to illustrate how the Conners 4 and companion tools can be used to develop your battery, answer key evaluation questions, inform intervention and monitor progress.

Learning Objectives:
After participating in this presentation, participants will be able to:
1. Explore the current body of ADHD literature and its relationship to the Conners legacy moving into the future.
2. Describe the new components, modified structure and expanded content of the Conners 4 revision designed to address the gaps identified in the research and by market users.
3. Identify the benefits of using the Conners 4 and companion tools as part of your assessment battery.
4. Apply this knowledge to administration, scoring and interpretation of a sample case study.

Artificial Intelligence vs. ADHD: Predictive Analytics, Diagnostics, and Therapeutics Through Wearables w/ Lindsay Ayearst, Chief Scientific Officer and Rich Brancaccio, Founder:
Clinicians are often faced with tremendous gaps in necessary data while making diagnostic and clinical recommendations. They also face the challenge of a limited range of non-pharmacological treatment options, which is especially true when treating ADHD patients. With the rise of wearable devices enabling constant data collection, wearable sensors can leverage artificial intelligence tools such as big data, and machine learning to fill in the gaps and find unique and telling trends and patterns in the process. By pioneering early research into the effects of physical movement and self-report data, a glimpse into the future of constant, or “365” data collection for the assessment and treatment of ADHD will be presented. Having real world dynamic data creates a wealth of data points on a given individual that, using AI, makes it possible to spot trends and patterns that were previously undetectable. When coupled with traditional assessment measures this data has the potential to provide incremental improvements to the accuracy of diagnostic decisions and personalized interventions by predicting what specific daily behaviors and actions may benefit focus and attention for a given a youth. This real-time data also opens the door to leverage wearables as a form of truly personalized digital therapeutics. A review of the opportunity for a resurgence in technology within ADHD as well as an overview of newly available technologies, such as AI and machine learning will be presented. Wearable actigraphy and gyroscope data capabilities will be explored as well as potential for monitoring of hyperactivity and on/off task behaviors through sensor data. Evidence for the efficacy of a new wearable device, Revibe Connect, for the treatment of ADHD in youth will be presented. Also covered, will be an overview for school psychologists and special educators for utilizing and incorporating Revibe Connect into an RTI framework. The presentation will focus on utilizing Revibe as a behavioral intervention and data collection tool to drive improved outcomes for students while helping educators make informed decisions through automated data collection.

Learning Objectives:
After participating in this presentation, participants will be able to:
1. Recognize a need for an advancement in technology within the ADHD field.
2. Discuss some of the passive and active metrics that can be collected from a wearable device that could be used to inform clinical decision making and treatment evaluation in ADHD.
3. Formulate new hypotheses in the research and application of artificial intelligence and digital therapeutics within the field of ADHD.
4. Understand the potential to leverage wearable technology as a behavioral intervention tool.
5. Formulate potential use cases for bolstering current educational decision making with wearable technology data points.

COST: FREE for members; $30 for non-members

Friday, September 24, 2021 - 9:30a-12:30p

Location: Zoom (link will be sent by Thursday, September 23rd at 6pm)

This course meets the qualifications for 3 hours of continuing education credit for LEPs, LPCCs, LMFTs and LCSWs. This course also qualifies for 3 hours of continuing professional development for Nationally Certified School Psychologists, under provider number 1025.The California Association of School Psychologists maintains responsibility for the program and its content. ~ CEU cost – $20. An email with follow the training and explain the process.

Email us at if you have any questions. Hope to see you at the training!
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