# Enhancing AI Accessibility in Veterinary Medicine: Linking Classifiers and Electronic Health Records

arXiv: https://arxiv.org/abs/2410.14625 · HTML: https://mlsanity.com/paper/2410.14625/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 3 references that are in the map.
- First posted on arXiv 18 Oct 2024.

## Abstract (arXiv)

In the rapidly evolving landscape of veterinary healthcare, integrating machine learning (ML) clinical decision-making tools with electronic health records (EHRs) promises to improve diagnostic accuracy and patient care. However, the seamless integration of ML classifiers into existing EHRs in veterinary medicine is frequently hindered by the rigidity of EHR systems or the limited availability of IT resources. To address this shortcoming, we present Anna, a freely-available software solution that provides ML classifier results for EHR laboratory data in real-time.