Analytical Study of Real-Time Supervision Compliance Tracking in Autism Therapy for Enhancing BACB Standard Adherence

Abstract

This research addresses the difficulty of tracking compliance in behavioral health clinical supervision under the stringent requirements of BACB. As the demand for ABA therapy increases, the use of conventional compliance tracking is inefficient, particularly across states with variances in regulation. The objective was the development of a scaleable, real-time dashboard of compliance automating and visualizing critical metrics such as supervision hours and eligibility in order to streamline oversight and decrease administrative work. The dashboard was constructed using the case study methodology with Microsoft Power BI and SQL data extraction with DAX logic consistent with the requirements of the BACB. Baseline data was gathered through audits, interview, and feedback in order to assess usability as well as effect. The results indicate that there is a decrease of 60% in manual tracking and more efficient detection of supervision gap, allowing proactive management of compliance. Customizable views based on the state as well as the current technical assistant enhanced the readiness of audits and decreased the delays in certification. The findings indicate the promise of data-based compliance tools in enhancing clinical supervision with added transparency as well as efficiency. The study contributes an outline of how technology can be integrated in behavioral health supervision with applicability in the automation of healthcare compliance as demands increase. Such technology is vital in order to preserve quality as well as accountability in the processes of clinical education as well as certification.