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中国临床药理学与治疗学 ›› 2008, Vol. 13 ›› Issue (4): 361-365.

• 专论 •    下一篇

计算机系统与药物临床试验管理规范——临床研究机构的角色和临床试验中计算机系统的职责

Teri Stokes1, 李娟2, 谢海棠2   

  1. 1GXP Interational, 131 Sudbury Road, Concord, MA 01742,USA;
    2皖南医学院弋矶山医院药物临床评价中心,芜湖241001,安徽
  • 收稿日期:2008-03-26 修回日期:2008-04-10 出版日期:2008-04-26 发布日期:2020-10-12
  • 作者简介:TeniStokesPh.D.,DirectorGXPInternational131SudburyRoad,Concord,MA01742-USATel:十1-978287-4393Fax:十1-978-3695620www.GXPIntemational.com

Computer systems and GCP - site roles and responsibilities for computer systems used in clinical trials

Dr.Teri Stokes1, LI Juan2, Checked by XIE Hai-tang2   

  1. 1 GXP Intemational, 131 Sudbury Road, Concord, MA 01742,USA;
    2 Anhui Provincial Centre for Drug Clinical Evaluation, Affiliated Yijishan Hospital of Wannan Medial College, Wuhu 241001,Anhui, China
  • Received:2008-03-26 Revised:2008-04-10 Online:2008-04-26 Published:2020-10-12

摘要: 在临床研究中计算机系统常常用于受试者的诊断与管理,药物的调配和执行临床试验方案中规定的实验室检查。确保这些计算机系统每次都严密可控且可信地执行任务非常重要。国际法规要求这些系统均有很好的工作记录方能符合要求。临床基地的稽查和核察人员要按照药物临床试验管理规范要求审查这些系统,确保它们在研究中的可靠性以及数据的可信度。研究组长对所有方案中使用的工作系统以及从书面或计算机中收集的试验数据的质量与可靠性负责。

关键词: 计算机认证, 临床试验, 临床试验规范稽查, 研究场地计算机, 危险性分析, 数据完整性

Abstract: Many computer systems can be used in the diagnosis and care of subjects in a clinical study,in dispensing drug supplies, and in performing laboratory tests required by the study protocol. It is impotant that these systems are closely controlled and perform reliably every time they are used. Intermational regulations require that such systems be well documented. Audits a and inspections at clinical study sites under Good Clinical Practice (GCP) will check such systems to be sure that they are re liable in perfomance and that their data is trustw orthy. The Principal Investigator in a study is responsible for the quality of all computer systems used to meet the study protocol and for the quality and trustworthiness of all trial data collected either by paper or computer.

Key words: computer validation, clinical trial, GCP audit, study site computer, risk analysis, data integrity

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