Suppr超能文献

利用信息仓库筛选患者进行临床试验:一个原型。

Using an information warehouse to screen patients for clinical trials: a prototype.

作者信息

Kamal Jyoti, Pasuparthi Kabardhi, Rogers Patrick, Buskirk Jason, Mekhjian Hagop

机构信息

The Ohio State University Medical Center, Columbus, OH, USA.

出版信息

AMIA Annu Symp Proc. 2005;2005:1004.

Abstract

Success of a clinical trial recruitment process for drug discovery and new treatments depends on screening and identifying eligible patients in a timely manner. This can be a complex and tedious process that in many instances requires a research nurse to manually track patients that may be eligible. At the Ohio State University Medical Center (OSUMC) we have developed a web-based functional prototype that uses the data stored in the Information Warehouse (IW) to screen patients that meet the eligibility criteria for clinical trials. Using this prototype, a researcher can apply a set of inclusion/exclusion criteria pertinent to a research protocol and instantly find patients that may qualify for the clinical trial without revealing their identity. A researcher has access to all detailed historical clinical information such as lab results, diagnosis codes, pathology reports and clinical notes.

摘要

药物研发和新疗法临床试验招募过程的成功取决于及时筛选和识别符合条件的患者。这可能是一个复杂而繁琐的过程,在许多情况下需要研究护士手动跟踪可能符合条件的患者。在俄亥俄州立大学医学中心(OSUMC),我们开发了一个基于网络的功能原型,它利用存储在信息仓库(IW)中的数据来筛选符合临床试验资格标准的患者。使用这个原型,研究人员可以应用一组与研究方案相关的纳入/排除标准,并立即找到可能符合临床试验条件的患者,而无需透露他们的身份。研究人员可以访问所有详细的历史临床信息,如实验室结果、诊断代码、病理报告和临床记录。

相似文献

引用本文的文献

本文引用的文献

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验