Advanced Analytics Patient Outcomes In Aba is the kind of topic that looks straightforward until it collides with the speed, ambiguity, and competing demands of case conceptualization, intervention design, staff training, and literature-informed problem solving. In Advanced Analytics Patient Outcomes In Aba, for this course, the practical stakes show up in stronger conceptual consistency and better translational decision making, not in abstract discussion alone.
Provider: CASP CEU Center
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Join Free →Advanced Analytics & Patient Outcomes in Applied Behavior Analysis Original Air Date: December 14, 2023 CEU offered: 1.5 Learning CEU Webinar Duration: 90 minutes CE Instructors: David J. Cox, Ph.D., M.S.B., BCBA-D, Abstract: p.p1 {margin: 0.0px 0.0px 12.0px 0.0px; font: 12.0px Times; -webkit-text-stroke: #000000} li.li2 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px Times; -webkit-text-stroke: #000000} span.s1 {font-kerning: none} ol.ol1 {list-style-type: decimal} Patients, their caregivers, and payers often want to know exactly what they will get when receiving ABA and how long it will last. They also often want to know how they can identify ABA providers who are better at providing ABA services than other providers. However, the complexity of ABA service delivery and idiosyncratic intervention and goal design make answering questions about patient outcomes challenging. In this presentation, we review categories of quality measurement stakeholders often seek and how advanced analytics (e.g., statistical modeling, machine learning) allow us to answer questions about patient outcomes. Specifically, we show one way that ABA providers and payers can model and predict patient outcomes as a function of each patient's unique clinical profile. From there, all stakeholders can identify which patients are making progress above, at, or below expectations so that relevant action can be taken accordingly. Further, as outcome measures gain adoption, advanced analytics offer opportunities for bringing applications of artificial intelligence to bear on ABA such as ABA hours/dosage recommender systems, patient-provider matching, treatment pathway analysis, and dynamic treatment recommender systems to optimize patient outcomes. Learning Objectives Describe the three types of quality measures and provide examples from ABA. Describe three methods for identifying patient profiles to account for clinical severity in analytics of patient outcomes. Describe how advanced analytics al
| Certification Body | Credits | Type |
|---|---|---|
| BACB | 1 | General |
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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.