Practical Applications of Large Language Models in Vision Rehabilitation: A Hands-On Guide to Documentation and Clinical Efficiency

Large Language Models (LLMs) are rapidly evolving from theoretical concepts into practical tools for clinical practice. While previous discussions have focused on the conceptual potential of AI, this article provides a hands-on, applied guide for vision rehabilitation professionals. We demonstrate specific, reproducible workflows using CommureAI Scribe and Google’s Gemini within a HIPAA- compliant Google Workspace environment. The article details five key use cases: 1) AI-driven scribing and record integration, 2) Streamlining and enhancing clinical report writing through EMR data extraction, 3) Staff training and real-time clinical support, 4) Deep research and protocol integration, and 5) Simplifying administrative tasks and insurance appeals. We provide specific case examples for each, including EMR (Crystal PM) integration for narrative reports, guided learning for therapist certification, chairside consultation for a neuro-optometric differential diagnosis, and integrating complex protocols like the Sanet- Vergara method and concepts from Dr. David Cook’s “The Shape of the Sky.” This article serves as a practical manual for clinicians to leverage AI, enhancing documentation, communication, and overall practice efficiency, thereby freeing more time for direct patient care.