There are 20 main objective of data management and data integrity in pharmaceutical industry. Let’s check it out –
1. Ensure the accuracy and completeness of data.
2. Maintain data confidentiality and security.
3. Facilitate compliance with regulatory requirements.
4. Ensure consistency of data across different systems and platforms.
5. Facilitate efficient data retrieval and analysis.
6. Enable effective decision-making based on reliable data.
7. Support research and development activities.
8. Facilitate collaboration between different departments and stakeholders.
9. Minimize errors and discrepancies in data entry and processing.
10. Ensure proper documentation of all data-related activities.
11. Enable traceability of data from source to final output.
12. Facilitate the sharing of data within the organization and with external partners.
13. Support quality control processes by providing accurate and reliable data for analysis.
14. Enable effective monitoring of product safety and efficacy through accurate tracking of adverse events, clinical trial results, etc.
15. Support supply chain management by providing accurate inventory and production data.
16. Facilitate effective resource allocation by providing accurate information on resource utilization.
17. Enable effective risk management by identifying potential risks through analysis of relevant data.
18. Support continuous improvement initiatives by providing accurate performance metrics.
19. Ensure compliance with ethical standards in research involving human subjects.
20. Facilitate effective communication with regulatory authorities through timely submission of accurate and complete data sets for review purposes.
Read also: Frequently Asked Questions on Data Integrity