A web-based medical safety reporting system for a large multicenter clinical trial: the ALIAS experience

大型多中心临床试验的基于网络的医疗安全报告系统:ALIAS 的经验

阅读:1

Abstract

An electronic safety reporting (ESR) module was developed and integrated into a home-grown web-based clinical trial management system (CTMS) to enhance the efficiency, completeness and consistency of reporting and reviewing serious adverse events, monitoring safety, and submitting safety reports to regulatory authorities for a large multicenter clinical trial. The architecture of this integrated module provided many advantages. First, the ESR module was developed based on a comprehensive procedure which incorporated both computer logic processing steps and human intervention steps in order to deal with the complex and unexpected situations where pre-programmed computer logic may fail. Second, safety and efficacy data were managed within the same relational database. Relevant data captured on efficacy case report forms, such as demographics, medical history, lab data and concomitant medications, were directly retrievable for MedWatch report composition without requiring redundant data entry. Finally, the ESR module shared the same generic user interfaces and data processing functions with other modules in the CTMS. These generic components include data editing, data retrieving, data reporting, dictionary-based automatic and interactive coding, event-driven and calendar-driven automatic email notifications, and user privilege management. This integrated ESR module was implemented in the Albumin in Acute Stroke (ALIAS) Trial-Part 1. A total of 397 serious adverse event reports were processed and 33 FDA MedWatch reports, 28 initial reports, and 5 follow-up reports were submitted to FDA and Health Canada using this system. Experiences and lessons learned from the development and implementation of this system are presented in this paper.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。