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1.
Acta Pharmaceutica Sinica ; (12): 1380-1387, 2015.
Article in Chinese | WPRIM | ID: wpr-320073

ABSTRACT

Validation is a documented process that provides a high degree of assurance. The computer system does exactly and consistently what it is designed to do in a controlled manner throughout the life. The validation process begins with the system proposal/requirements definition, and continues application and maintenance until system retirement and retention of the e-records based on regulatory rules. The objective to do so is to clearly specify that each application of information technology fulfills its purpose. The computer system validation (CSV) is essential in clinical studies according to the GCP standard, meeting product's pre-determined attributes of the specifications, quality, safety and traceability. This paper describes how to perform the validation process and determine relevant stakeholders within an organization in the light of validation SOPs. Although a specific accountability in the implementation of the validation process might be outsourced, the ultimate responsibility of the CSV remains on the shoulder of the business process owner-sponsor. In order to show that the compliance of the system validation has been properly attained, it is essential to set up comprehensive validation procedures and maintain adequate documentations as well as training records. Quality of the system validation should be controlled using both QC and QA means.


Subject(s)
Clinical Trials as Topic , Database Management Systems , Reference Standards , Information Storage and Retrieval , Reference Standards , Software Validation
2.
Acta Pharmaceutica Sinica ; (12): 1393-1395, 2015.
Article in Chinese | WPRIM | ID: wpr-320071

ABSTRACT

Implementation of information technology in clinical research has resulted in revolutionary changes in drug development. Based on the good clinical practice (GCP) requirements on data, processes and documentations, and the era of fast growth in clinical studies using up-to-date information technology, we explore an integrated e-clinical solution in clinical studies in China.


Subject(s)
China , Clinical Trials as Topic , Data Collection , Methods , Medical Informatics , Methods
3.
Acta Pharmaceutica Sinica ; (12): 1393-5, 2015.
Article in Chinese | WPRIM | ID: wpr-504994

ABSTRACT

Implementation of information technology in clinical research has resulted in revolutionary changes in drug development. Based on the good clinical practice (GCP) requirements on data, processes and documentations, and the era of fast growth in clinical studies using up-to-date information technology, we explore an integrated e-clinical solution in clinical studies in China.

4.
Acta Pharmaceutica Sinica ; (12): 1380-7, 2015.
Article in Chinese | WPRIM | ID: wpr-504992

ABSTRACT

Validation is a documented process that provides a high degree of assurance. The computer system does exactly and consistently what it is designed to do in a controlled manner throughout the life. The validation process begins with the system proposal/requirements definition, and continues application and maintenance until system retirement and retention of the e-records based on regulatory rules. The objective to do so is to clearly specify that each application of information technology fulfills its purpose. The computer system validation (CSV) is essential in clinical studies according to the GCP standard, meeting product's pre-determined attributes of the specifications, quality, safety and traceability. This paper describes how to perform the validation process and determine relevant stakeholders within an organization in the light of validation SOPs. Although a specific accountability in the implementation of the validation process might be outsourced, the ultimate responsibility of the CSV remains on the shoulder of the business process owner-sponsor. In order to show that the compliance of the system validation has been properly attained, it is essential to set up comprehensive validation procedures and maintain adequate documentations as well as training records. Quality of the system validation should be controlled using both QC and QA means.

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