将机器学习诊断工具实时接入兽医电子病历系统
Enhancing AI Accessibility in Veterinary Medicine: Linking Classifiers and Electronic Health Records
- 开发轻量级软件Anna，实现模型结果与病历数据实时对接
- 支持兽医机构在无专业IT资源下快速部署智能诊断
- 开源免费，适配现有病历系统，降低技术门槛
在快速发展的兽医医疗领域，将机器学习（ML）临床决策工具与电子健康记录（EHRs）集成，有望提升诊断准确性和患者护理水平。然而，由于现有EHR系统的刚性架构或信息技术资源匮乏，这一集成常面临挑战。为此，我们提出Anna——一款免费的软件解决方案，可实时为兽医EHR中的实验室数据提供机器学习分类器结果，有效缓解系统兼容与资源限制问题。
原文摘要 · Abstract (English)
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.
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