Description
This lecture focuses on mastering veterinary case management by systematically identifying, processing, and delivering neurologic diagnoses. Using the Sign, Sealed & Delivered framework, attendees will learn to:
--Recognize clinical signs through thorough observation and historical inquiry.
--Process findings using neuroanatomic localization and differential diagnosis prioritization.
--Educate clients effectively on diagnostic and treatment options, including when to pursue advanced testing or referrals.
The session integrates real case examples, video demonstrations, and digital tools such as AI-powered medical scribing, radiographic interpretation, and augmented reality-assisted telemedicine. This course is designed to enhance diagnostic accuracy, efficiency, and client communication, ultimately improving patient outcomes.
Learning Objectives
- Optimizing Workflow & Case Management through AI & Digital Tools: Integrate AI Scribe, radiographic interpretation, and AR-assisted telemedicine into daily practice to streamline communication, enhance diagnostic accuracy, and improve patient outcomes efficiently
- Enhancing Neurologic Exam Skills with Augmented Reality (AR) TeleCoaching: Utilize AR Glass technology to refine neuro exam techniques through real-time TeleCoaching, ensuring improved accuracy in gait analysis, proprioception testing, and cranial nerve evaluation
- Delivered – Communicating Findings with Clarity & Confidence: Master client education by leveraging AI-assisted medical documentation for clear, concise, and accurate explanations of diagnostic findings, treatment options, and the necessity of advanced testing or referrals
- Sealed – Refining Neuroanatomic Localization & Diagnosis: Utilize a systematic approach to neuroanatomic localization, differential diagnosis prioritization, and AI-powered data analysis to enhance decision-making and efficiency in case processing
- Signed – Identifying Neurologic Signs with Precision: Develop proficiency in recognizing and documenting neurologic abnormalities through structured observation, historical inquiry, and AI-assisted medical scribing to ensure accurate and comprehensive clinical notes
