Quality assurance operations: good clinical practices.

Drug Information Journal Pub Date : 1983-01-01
A W Castellion
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引用次数: 0

Abstract

The pharmaceutical industry sponsor bears the ultimate responsibility for the verification of all clinical data submitted to the FDA in support of a New Drug Application (NDA). The author provides an overview of a systematic approach to providing quality assurance for all clinical data collected in the course of human trials with research compounds. This systemic approach includes such features as: Standard Operating Procedures Manuals, the development of a quality assurance function within the organization, detailed documentation for all monitoring activities, careful assessment of all clinical research data collected, and an emphasis on preventive measures that can be introduced to assure the quality of subsequent research data.

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质量保证操作:良好的临床操作规范。
制药行业发起人对所有提交给FDA的临床数据的验证承担最终责任,以支持新药申请(NDA)。作者提供了一个系统的方法,以提供质量保证的所有临床数据收集在人类试验过程中与研究化合物的概述。该系统方法包括以下特征:标准操作程序手册,组织内部质量保证功能的发展,所有监测活动的详细文件,收集的所有临床研究数据的仔细评估,并强调可以引入的预防措施,以确保后续研究数据的质量。
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来源期刊
Drug Information Journal
Drug Information Journal 医学-卫生保健
自引率
0.00%
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0
审稿时长
6-12 weeks
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