From Data Chaos to Clinic Zen: AI Tools That Actually Make Your Life Easier

Kathleen Allison-Black, DVM

Dr. Kate Allison is a veterinarian, writer, and unapologetic data nerd with more than two decades of experience across emergency and critical care, shelter medicine, and general practice. Her work sits at the intersection of medicine, tech, and public health—where the algorithms meet the animals.

Known internationally for her leadership in zoonotic disease and outbreak response, Dr. Allison has become a leading voice in the veterinary conversation around emerging threats—most recently, the evolving risk of Highly Pathogenic Avian Influenza (HPAI H5N1) in companion animals, particularly cats. She lectures nationally on infectious disease preparedness, the use of AI in veterinary medicine, and building smarter communication and workflow systems for clinics and shelters.

Whether she’s helping a shelter build an outbreak protocol or teaching practitioners how to make peace with their PIMS data, her through-line is always the same: clarity, compassion, and evidence-based action. She’s also the creator of Pawgorithms, a Substack dedicated to practical, algorithm-driven approaches to modern veterinary medicine, and is currently developing AIpowered tools for disease surveillance and clinical decision support

Overview:

Let’s be real—clinic data has a tendency to multiply like unspayed rabbits. Your PIMS talks to your lab software (mostly), but client handouts live in some ancient folder, staff training materials are printed in a dusty binder, and no one knows which version is the “current one.” Updating it all feels impossible. With the right AI tools, though, you can turn that chaos into clarity. We’ll look at how to use platforms like PerplexityAI, Notebook LM, and ChatGPT to pull together PDFs, protocols, and CE notes into searchable, editable knowledge hubs—then use that material to generate fresh, accurate training documents, client handouts, and internal algorithms. Whether you’re starting from scratch or refreshing outdated content, AI can help transform scattered files and half-finished ideas into living, useful resources that actually reflect how your clinic practices medicine.

Learning Objectives:

At the conclusion of this session, participants will be able to:

Describe the role of artificial intelligence in improving workflow and communication within veterinary practice.
Identify AI tools that can assist with data management, content creation, and client education.
Demonstrate how to apply AI to organize clinic data and generate accurate, engaging educational materials.
Evaluate the benefits and potential limitations of AI-based tools in everyday clinical operations.
Develop a plan to integrate one or more AI-driven processes into their clinic’s workflow for improved efficiency and team satisfaction.

This course is RACE-approved for 1.0 continuing education credits hours in jurisdictions that accept RACE-approval.