Technology and AI

Tech implementation in ABA clinic

Implementing New Tech in an ABA Clinic: Adoption, Training, and Change Management

This post is for ABA clinicians, BCBA supervisors, and clinic leaders implementing new technology. It provides practical guidance on adoption, training, and change management to minimize disruption and uphold ethical data use. Its core focus is turning ABA data into clear, ethical decisions that support client outcomes and practice integrity.

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Data visualization and analytics overview

Data Visualization & Analytics in ABA: Graphs, Dashboards, and Decision-Making That Works

This post is for behavior analysts, clinicians, and students who collect ABA data and want clearer, ethically sound decisions. It shows how graphs, dashboards, and analytics can translate raw data into actionable insights for progress monitoring and decision-making. With a practical, clinician-friendly focus, it demonstrates how visualization supports transparent, client-centered practice.

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Guide to AI and Automation

The Complete Guide to AI & Automation in ABA

This pillar-style guide is written for BCBA/ABA clinicians and ABA practice leaders seeking an ethics-first approach to AI and automation across documentation, data collection, scheduling, and reporting. It defines AI in plain language, covers privacy, security, and HIPAA considerations, and provides step-by-step workflows, session-note guardrails, and practical checklists to turn data into clear, compliant decisions. The post helps you evaluate tools, understand where AI adds value versus where human oversight remains essential, and includes a vendor questionnaire to safeguard safety, accuracy, and client dignity.

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