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Case Studies | Data & Knowledge Engineering | India | Volume 12 Issue 6, June 2023 | Rating: 5 / 10
Clinical Trial Efficiency through Data Integrity Controls
Abstract: Clinical trial data management faces several challenges, including the need to collect and manage large amounts of data from multiple sources, ensuring data quality and accuracy, and maintaining patient privacy and confidentiality. Inadequate data management can lead to errors, delays, and inaccurate results, which can impact patient safety and the effectiveness of treatments. Effective healthcare data management requires adherence to best practices to ensure the accuracy, privacy, and security of patient data. These practices include maintaining data confidentiality, ensuring data quality and accuracy, and conducting regular data audits Through the lens of informatics, this paper envisions a future where data - driven clinical trials expedite drug development, enhance patient outcomes, and shape the trajectory of medical research.
Keywords: Data Governance, Data Integrity, Data Management, Data Security, Technical Controls, Regulations
Edition: Volume 12 Issue 6, June 2023,
Pages: 2962 - 2965