Physicians and clinicians are often faced with tremendous gaps in necessary data while making diagnostic and clinical recommendations. 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, finding unique trends and patterns in the process. By pioneering early research into the effects of physical movement and self-report data, we can see a glimpse into the future of constant, or “365” data collection for the assessment and treatment of ADHD. Recently Lindsay Ayearst and I gave a presentation on this topic at the 16th Annual ADHD Conference hosted by CADDRA. The following is an overview of that presentation.
4 min read
Topics: School Psychologist
2 min read
Testing: What the Heck Does That Even Mean?
A very common question we hear in the field of psychology is, "What does it mean to have my child 'tested'?"