Cutting Through the AI Noise in ABA Revenue Cycle Management is the kind of topic that looks straightforward until it collides with the speed, ambiguity, and competing demands of documentation workflows, supervision meetings, treatment planning, and quality review. In Cutting Through the AI Noise in ABA Revenue Cycle Management, for this course, the practical stakes show up in faster workflow without clinical drift, privacy loss, or weak oversight, not in abstract discussion alone.
Provider: BehaviorLive — via Comprehensive Billing Consultants (Conference)
Take This Course →Including ethics, supervision, and topics like this one. New live CEU every Wednesday.
Join Free →As artificial intelligence gains momentum in healthcare operations, many ABA leaders are struggling to separate real innovation from overhyped vendor promises. This interactive workshop—led by Eliana and Becky —is designed specifically for ABA organizations navigating the evolving AI landscape, developing sustainable vendor strategies, and avoiding costly implementation missteps in their revenue cycle. We'll start by breaking down what "AI" really means in the context of ABA RCM—clarifying key distinctions between co-pilots (tools that support staff), agents (automated workflows), and hybrid AI services. Using real-world ABA examples, we'll explore how these models are currently being applied and where they fit into the unique workflows of ABA billing, authorizations, and claims management. From there, participants will work through a practical decision-making framework designed to help ABA leaders evaluate whether to build in-house, outsource, or integrate new technologies across core RCM functions like benefit verification, prior auth, claims submission, and A/R follow-up. We'll also dive into the nuances of vendor selection in the ABA space—including how to build a clear requirements matrix, assess true cost of ownership, and spot red flags during implementation planning. The session closes with open problem-solving focused on the specific operational and regulatory challenges faced by multi-state ABA providers. Demystify AI in RCM: Participants will be able to identify and differentiate between emerging AI models—such as co-pilots, agents, and hybrid services—and evaluate where each model fits within their revenue cycle functions. Develop a Strategic Delivery Framework: Participants will apply a structured framework to assess internal capabilities, prioritize RCM functions, and determine the most effective mix of in-house, outsourced, and AI-supported solutions for their organization. Enhance Vendor Evaluation and Implementation Readiness: Participants will gain practical tools for building a vendor requirements matrix, conducting due diligence, and planning for successful implementation—accounting for staffing, integration, and long-term sustainability.
| Certification Body | Credits | Type |
|---|---|---|
| BACB® | 0 | — |
| AAPC | 1 | — |
| AMBA | 1 | — |
Becky Carlson, MHA, is a seasoned Revenue Cycle Management leader with a passion for optimizing healthcare operations. She has spearheaded RCM initiatives at organizations like Two Chairs, Adonis, and Bicycle Health enhancing efficiency and patient care. Known as the "RCM Fairy Godmother," Becky combines strategic insight with a commitment to integrity and continuous improvement, driving impactful results in the RCM industry.
Dig into the research behind this topic — plain-English summaries written for BCBAs.
258 research articles with practitioner takeaways
239 research articles with practitioner takeaways
236 research articles with practitioner takeaways
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All behavior-analytic intervention is individualized. The information on this page is for educational purposes and does not constitute clinical advice. Treatment decisions should be informed by the best available published research, individualized assessment, and obtained with the informed consent of the client or their legal guardian. Behavior analysts are responsible for practicing within the boundaries of their competence and adhering to the BACB Ethics Code for Behavior Analysts.