Clinical decision support systems are a combination of software techniques to help the clinicians in their medical decision making process via functionalities ranging from basic signal analysis to therapeutic planning and computerized guidelines. The algorithms providing all these functionalities must be very carefully validated on real patient data and must be confronted to everyday clinical practice. One of the main problems when developing these techniques is the difficulty to obtain high-quality complete patient records, comprising data coming both from the biomedical equipment (high-frequency signals), and from numerous other sources (therapeutics, imagery, clinical actions, etc.). In this paper, we present an infrastructure for developing and testing such software algorithms. It is based on a bedside workstation where testing different algorithms simultaneously on real-time data is possible in the ward. It is completed by a collaborative portal enabling different teams to test their software algorithms on the same patient records, making comparisons and cross-validations more easily.

译文

临床决策支持系统是软件技术的组合,可通过从基本信号分析到治疗计划和计算机化指南的功能来帮助临床医生进行医疗决策。提供所有这些功能的算法必须在真实的患者数据上进行非常仔细的验证,并且必须面对日常临床实践。开发这些技术时的主要问题之一是难以获得高质量的完整患者记录,包括来自生物医学设备 (高频信号) 和来自许多其他来源 (治疗,图像,临床动作等) 的数据。在本文中,我们介绍了用于开发和测试此类软件算法的基础结构。它基于床边工作站,可以在病房中同时测试实时数据的不同算法。它由一个协作门户网站完成,使不同的团队能够在相同的患者记录上测试他们的软件算法,从而更容易进行比较和交叉验证。

+1
+2
100研值 100研值 ¥99课程
检索文献一次
下载文献一次

去下载>

成功解锁2个技能,为你点赞

《SCI写作十大必备语法》
解决你的SCI语法难题!

技能熟练度+1

视频课《玩转文献检索》
让你成为检索达人!

恭喜完成新手挑战

手机微信扫一扫,添加好友领取

免费领《Endnote文献管理工具+教程》

微信扫码, 免费领取

手机登录

获取验证码
登录