基于机器人过程自动化,从手写的医疗表单中提取数据
Norbert Gal-Nadasan1, Vasile Stoicu-Tivadar1, Emanuela Gal-Nadasan2
1Politehnica University of Timisoara, Department of Automation and Applied Informatics, Faculty of Automation and Computers, Romania.
Studies in health technology and informatics
|October 23, 2023
概括
本研究介绍了一个机器人过程自动化 (RPA) 机器人,用于数字化并从手写的医疗表格中提取数据. 该系统使用谷歌云视觉OCR和UiPath ML来准确地提取和组织数据.
科学领域:
- 医疗信息学 医疗信息学
- 自动化技术自动化技术
- 数据科学数据科学数据科学
背景情况:
- 手写的医疗表格对数据数字化提出了挑战.
- 手动输入数据耗时且容易出现错误.
- 从非标准格式提取标准化数据是复杂的.
研究的目的:
- 开发基于机器人过程自动化 (RPA) 的软件机器人,用于医疗表格数据数字化.
- 将提取的数据与特定的医学形式分类学联系起来.
- 为了从非标准的手写医疗表格中有效地提取数据.
主要方法:
- 利用UiPath工作室开发RPA软件机器人.
- 雇员谷歌云视觉光学字符识别 (OCR) 用于数字对象模型 (DOM) 文件创建.
- 集成的UiPath机器学习 (ML) API用于数据提取.
- 应用了一个非标准格式格式的数据提取模板.
主要成果:
- 从手写的医疗表单中成功地数字化和提取数据.
- 与预定义的医学分类学相关的提取数据.
- 证明了处理非标准医疗表格格式的能力.
结论:
- 开发的RPA机器人有效地数字化并从手写的医疗表格中提取数据.
- 该系统为处理非标准医疗数据格式提供了强大的解决方案.
- 提取的数据可以很容易地保存到数据库或电子表格中进行进一步分析.
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