#7469 REC AI in Rehabilitation Documentation: Ethical, Efficient, and Defensible Practice

Course overview

Artificial intelligence is rapidly transforming clinical documentation across occupational therapy, physical therapy, and speech language pathology and the stakes have never been higher. Insurance companies are deploying algorithmic review systems that scrutinize clinical notes with unprecedented precision, directly affecting reimbursement, audit outcomes, and patient access to care. For rehabilitation practitioners, this creates a new professional reality: documentation must not only reflect skilled intervention but must be written to withstand both human and algorithmic review. This course provides rehabilitation practitioners with an evidence-informed, practical framework for integrating AI into documentation workflows while maintaining ethical standards, clinical accuracy, and regulatory compliance. Participants will examine current AI applications within major electronic medical record systems including Epic, PointClickCare, and Oracle Health, and analyze their implications for documentation of occupational performance across activities of daily living, instrumental activities of daily living, work, and social participation. The course applies AOTA Policy E.19, APTA's 2024 official house position, and ASHA's 2025-2026 advocacy priority to real-world documentation scenarios, emphasizing the practitioner's role as the final quality control layer. Learners will design PHI-safe AI documentation workflows and develop strategies to evaluate AIgenerated documentation for skilled justification, audit readiness, and reimbursement compliance. Course instruction method includes: lecture, picture/graphs, case studies, videos, question/answers.