The healthcare system is designed around objective lab tests for physical health, but mental health lacks similar standardized tools. This absence of objective measures makes ADHD diagnosis and treatment highly subjective, relying on inconsistent selfreports and parental feedback. As a result, finding the right treatment is a lengthy, trial-and-error process with no clear, datadriven method for determining effectiveness.

ADHD management is further complicated by a shortage of specialists, forcing primary care physicians and pediatricians— who often lack the time and training for comprehensive evaluations—to oversee treatment. This leads to frustration for both clinicians and patients, as well as delays in optimizing care. Without reliable data to track progress, patients experience inconsistent treatment outcomes, while the inefficiencies strain an already overburdened mental health system, increasing costs and limiting access to quality care.

iFocus Health is a health tech company that provides an AI-powered, webcam-based platform designed to track patient progress in ADHD treatment. The technology uses eye-tracking during reading tasks to analyze changes in reading patterns, offering clinicians an objective measure of patient progress. By integrating real-time patient-reported input with eye-tracking data, iFocus generates quantifiable insights that support data-driven treatment decisions. This approach reduces reliance on subjective self-reports and helps clinicians adjust treatment more efficiently.