AI-Enhanced Decision Support Systems for Autism Caregivers: Redefining HR’s Role in Workforce Planning and Patient-Centered Care

Abstract

Decision support systems (DSS) are undergoing an artificial intelligence (AI)-driven revolution, making autism caregiving a dynamic method of caregiving through the visualization of current progress in service delivery and the ability to predict the actions of the patient and their caregiver (including real-time support). The usefulness of AI-DSS in autism and the ways human resources (HR) might be applied alongside it as an intervention to adapt the workforce, train, and improve their well-being are explored in this paper. The hybrid approach in implementing a system prototype, conducting interviews with caregivers and seasoned HR specialists, and testing the simulation has proved that there is a substantial improvement linked to the system in being more predictive (85 percent), lessening the burden on caregivers (32 percent), and increasing interventions to satisfy the patient. The HR analysis demonstrated that there was a need to make changes to the frameworks of AI literacy, workforce redesign, and caregiver-well-being policy. Based on these results, it is evident that AI improves autism care giving, and also reimagines the strategic purpose of HR in sustainable workforce planning.