This session covers the origins, current trends, and real-world applications of AI in vet practices. Learn to implement AI, tackle challenges, and create a future-proof strategy for your team. Get ready to embrace innovation!
Artificial Intelligence (AI) is rapidly weaving itself into the fabric of modern veterinary medicine. With the potential for increased efficiencies, better patient care, and enhanced employee experiences, veterinary practices are swiftly integrating this technology. As innovation continues to accelerate, understanding AI’s role in veterinary practice is becoming crucial for those aiming to stay ahead in the field.
This session will begin with a brief introduction to the origins of AI, an umbrella term for software designed to replicate human cognitive abilities and perform complex tasks such as learning, reasoning, and problem-solving. We’ll unpack its various components, including machine learning and deep learning, and explain how they function.
Moving into the current landscape of veterinary medicine, the session will present insights from a 2024 survey by Digitail in collaboration with the American Animal Hospital Association (AAHA), offering a snapshot of AI’s adoption, sentiment, and the challenges faced by practitioners.
Next, we’ll explore AI use cases across different roles in a hospital. Attendees will learn to identify tasks where AI can add value or take over routine tasks to free up time for more critical responsibilities. We’ll also discuss how to segment tasks that AI can automate or augment and where caution is needed. Through real-world examples, the session will highlight existing AI solutions and scenarios for their effective use in practice. Finally, we will address the key concerns and challenges to AI adoption.
Participants will leave with the knowledge to develop an AI implementation strategy for their practice, including a change-management plan to help their team embrace the new technology, use it responsibly, and maximize its potential.
This course is RACE approved for 1 hour of continuing education credit for veterinarians and veterinary technicians in jurisdictions that recognize RACE approval (RACE 20-1239478). This course is approved by the Veterinary Hospital Managers Association (VHMA) for 1 hour of CVPM CE credit (24-54).
We’ll discuss the key terms and definitions, such as Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision.
Current adoption rates, sentiment, and challenges of AI in veterinary medicine, as discovered in the 2024 AI Survey by Digitail in collaboration with the AAHA.
Specific steps in the patient journey where AI can be effectively implemented and which tasks should be approached with caution.
Practical applications for veterinarians, technicians, CSRs, and practice managers.
AI concerns like data privacy, hallucinations, and job security, with strategies for ethical and responsible use in veterinary practices.
Actionable change-management frameworks to ensure smooth adoption and integration of AI technologies.
