AI in Veterinary Medicine: Uses and Best Practices
Artificial intelligence (AI) tools are commonplace in veterinary medicine. You’re likely already using AI to some extent, but the future landscape of the technology is filled with possibilities as new apps and innovations arrive on the scene. If you haven’t yet embraced AI, now is the time to determine where and how it can be most effectively integrated into your hospital workflows.
AI in veterinary medicine can streamline operations throughout the hospital, including patient care, medical records, client communication, and more. Here, we look at how you can dip your toe into the AI pool with practical applications and best practices for success.
AI in veterinary medicine: Best uses
AI tools use large datasets and advanced algorithms to make predictions. Humans design and train the models based on specific knowledge, then fine-tune them to ensure accuracy and efficiency. The idea is to assist humans, not replace them. Here are some examples of AI applications in veterinary medicine.
1. Diagnostics
AI-powered software can analyze radiographs, CT scans, and MRIs to assist veterinary radiologists or general practitioners in identifying abnormalities that may be difficult to detect reliably. Additionally, in-house and referral laboratory equipment can use AI to analyze cytology, urine, and blood samples with more insights than ever before. AI diagnostic analysis can reduce the time it takes to reach a diagnosis and ensure greater accuracy for better patient outcomes.
2. Medical records
AI tools that integrate with medical record software can help you formulate quick templates, fill in SOAP notes, and act as a dictation scribe in real time. AI scribes reduce errors and increase efficiency by listening to phone calls or patient visits, picking out relevant information, and creating cohesive medical notes. A team member only has to quickly review the note to ensure accuracy rather than spending time trying to remember and convey every detail.
3. Client communication
Similar to AI dictation software, AI tools in client communication and engagement software can send automated messages and educational material and help team members quickly draft emails and text messages, and create estimates. General use AI tools, such as ChatGPT, can also help with drafting communications.
4. Practice management
AI can streamline administrative operations in veterinary practices. Incorporating practice management software with AI integrations allows for optimized appointment scheduling, inventory management, and automation. Leadership teams can also use external large language models, such as ChatGPT, to assist in creating marketing campaigns, developing a budget, handling human resources, and other daily tasks.
AI in veterinary medicine: Best practices
As with any new technology, artificial intelligence comes with some caveats. Here are some things to consider before jumping in:
- Data security — Some AI tools use data to train and improve their product continuously. Never enter sensitive or client-identifying information into an open-access AI platform, like ChatGPT, and ensure the veterinary-specific AI tools you employ regularly stipulate data policies.
- Training — Team members should understand how to use AI for improved efficiency while understanding the technology’s limitations. Guide employees regarding AI use by creating formal protocols or policies and holding training sessions to get everyone on the same page.
- Transparency—Pet owners should be informed when AI is used in their pet’s care. Explain the benefits and safeguards against errors and reassure clients of data security. Most people will agree to the judicious use of AI, but disclosing it and providing an opt-out option helps build trust.
AI in veterinary medicine is reshaping how practices operate and care for patients. Understanding and embracing AI while adhering to best practices can help you improve pet health outcomes, boost client satisfaction, and elevate the standard of care in your practice.
