Veterinary AI Integration
Revolutionizing Diagnostics: Anna Platform for Real-time ML in EHRs
Anna is an open-source analytics platform enabling seamless integration of machine learning classifiers with existing veterinary electronic health records (EHRs). It provides real-time predictions, enhancing diagnostic accuracy and patient care without extensive IT modifications.
Executive Impact: Enhanced Veterinary Care
Leveraging AI with Anna leads to quantifiable improvements in diagnostic efficiency and patient outcomes.
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Accuracy Uplift
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Hours Saved Annually
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Reduced Error Rate
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Anna's flexible, standalone architecture ensures easy integration with existing EHR systems and hosts ML classifiers in dedicated environments.
Anna Platform Workflow
Classifier results request (EHR sends request to Anna with patient ID & test date)
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Data fetch (Anna retrieves relevant lab results from EHR)
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Data pre-processing (Anna merges, cleans, converts data)
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Classifier prediction (Anna forwards data to classifier servers)
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Result & error reporting (Classifier servers return predictions to Anna)
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Results storage (Anna stores predictions in MySQL DB)
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Display to end-user (Anna sends results to EHR for display)
This streamlined process automates data analysis, delivering just-in-time predictions without manual input.
Anna addresses critical challenges in veterinary AI adoption, offering significant advantages over traditional integration methods.
75%
Reduction in Manual Data Entry
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| Real-time Prediction |
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| Multi-classifier Support |
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Anna's open-source nature and modular design empower veterinary practices with advanced AI capabilities at a fraction of the traditional cost and complexity.
Anna has been successfully deployed and validated, demonstrating its utility in a leading veterinary teaching hospital.
UC Davis Veterinary Medical Teaching Hospital
Anna was developed and deployed at the UC Davis Veterinary Medical Teaching Hospital to address the need for integrating ML classifiers with existing EHR systems. This implementation demonstrated minimal EHR modifications and seamless integration of three previously published ML classifiers for predicting hypoadrenocorticism, leptospirosis, and portosystemic shunt in dogs. The platform leverages existing EHR reporting tools for data transfer, thereby significantly reducing the need for extensive IT resources.
Estimate Your AI ROI
Calculate the potential savings and efficiency gains for your practice with Anna's AI integration.
Annual Savings
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Hours Reclaimed
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Your AI Implementation Roadmap
A structured approach to integrating Anna into your veterinary practice, ensuring a smooth transition and maximum impact.
Discovery & Strategy
Identify key pain points, define project scope, and align AI solutions with business goals. Data assessment and initial feasibility study.
Platform Integration
Deploy Anna platform, configure EHR interfaces, and integrate initial ML classifiers. Establish secure data transfer protocols.
Classifier Deployment & Validation
Onboard and test new ML models. Conduct rigorous validation against real-world data and establish continuous monitoring.
User Training & Adoption
Provide comprehensive training to clinical staff. Develop educational resources and support systems to maximize adoption.
Optimization & Expansion
Continuously monitor performance, refine models, and expand to new clinical applications. Explore advanced features like time-series analysis.
Ready to Transform Your Practice?
Connect with our experts to discuss how Anna can enhance diagnostic capabilities and patient outcomes in your veterinary clinic.
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