Transforming autism care in the U.S.: Conceptualizing a data-driven, social work-based framework for early diagnosis and intervention

Autism spectrum disorder (ASD) presents unique challenges in early diagnosis and intervention within the United States, often exacerbated by socioeconomic disparities, regional inequities, and a lack of standardized care practices. This paper proposes a transformative framework that integrates social work practices and data-driven approaches to enhance autism care. The framework emphasizes the role of social workers in advocacy, community-based support, and family engagement, ensuring equitable access to services. Additionally, it leverages data analytics to identify trends, personalize interventions, and streamline care delivery through interdisciplinary collaboration. Drawing from successful healthcare models, this paper outlines strategies for implementing a unified, equitable, and scalable autism care system. Policy recommendations include standardizing diagnostic tools, increasing funding, and fostering cross-sector partnerships to address systemic barriers. The paper concludes with a call for further research, stakeholder collaboration, and community involvement to create an inclusive and effective autism care ecosystem that supports individuals and families across the spectrum.