Figure 1.

An example of how DPSTs could be deployed in pediatric practice. (1) A child and their guardian arrive for their annual pediatric well-visit. (2) The visit begins with traditional longitudinal screening activities, such as the tracking of height and weight. (3) After being administered an eye exam at their eight-year pediatric well-visit, (4) the child stands next to their mother as a nurse secures a clinic-owned smartphone to the child’s lower back with an elastic waist belt. (5) The nurse opens an app connected to the smartphone and instructs the child to tell a story ‘that will be judged based on how interesting it is.’ The app continuously collects movement and vocal biomarkers during the three-minute task. (6) The nurse thanks the child and tells them ’what a great job’ they did. The app immediately feeds the recorded movement and vocal biomarkers into a machine learning model that reports the likelihood of the child having clinically elevated levels of anxiety or depression. (7) Instantaneously, the data are uploaded to the child’s electronic health record (EHR) along with automated recommendations to the pediatrician for supplemental mental health screening needs, (8) which may include caregiver-report surveys.