ADHD Healthcare Intelligence

Abstract

Technological advancements are revolutionizing the healthcare sector, notably in the treatment and management of attention deficit/hyperactivity disorder (ADHD). This shift from traditional therapeutic and pharmacological interventions towards a more data-driven approach marks a significant change in ADHD care. The integration of big data (BD) and artificial intelligence (AI) has introduced innovative and effective methods for ADHD management. These technologies not only bring analytical accuracy but also an empathetic understanding of patient needs, enhancing the quality of life through improved screening accuracy, early diagnosis, and the facilitation of remote treatments. This chapter explores a novel method that synergizes BD and AI to enhance the screening, diagnosis, treatment, and monitoring of ADHD. It critically analyzes the increased efficiency and effectiveness in identifying and managing ADHD through a comprehensive literature review and an online questionnaire to forty-eight experts from the healthcare industry. The research underscores the indispensability of BD and AI in developing new clinical approaches, particularly in the backdrop of escalating ADHD cases and broader mental health challenges. The findings align strongly with theoretical expectations, demonstrating significant advancements over previous methodologies. By introducing a strategic technological model that optimally utilizes BD and AI in ADHD care, this research not only proposes an advanced support system for patients but also promotes public health and sustainable, equitable ADHD care practices. Furthermore, it highlights the profound implications for future ADHD studies, potentially revolutionizing the realms of ADHD screening, diagnosis, treatment, and monitoring.