Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.14625 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866910656915046400 |
|---|---|
| author | Kong, Chun Yin Vasquez, Picasso Farhoodimoghadam, Makan Brandt, Chris Brown, Titus C. Reagan, Krystle L. Zwingenberger, Allison Keller, Stefan M. |
| author_facet | Kong, Chun Yin Vasquez, Picasso Farhoodimoghadam, Makan Brandt, Chris Brown, Titus C. Reagan, Krystle L. Zwingenberger, Allison Keller, Stefan M. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_14625 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Enhancing AI Accessibility in Veterinary Medicine: Linking Classifiers and Electronic Health Records Kong, Chun Yin Vasquez, Picasso Farhoodimoghadam, Makan Brandt, Chris Brown, Titus C. Reagan, Krystle L. Zwingenberger, Allison Keller, Stefan M. Information Retrieval Machine Learning 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. |
| title | Enhancing AI Accessibility in Veterinary Medicine: Linking Classifiers and Electronic Health Records |
| topic | Information Retrieval Machine Learning |
| url | https://arxiv.org/abs/2410.14625 |