Evaluation of benefits derived from a computerized data management system for clinical trials data

Area of Science:

• Clinical Pharmacology
• Biostatistics
• Health Informatics

Background:

• Investigator responsibility for identifying and reporting adverse events is critical in pharmaceutical clinical trials.
• Traditional paper-based systems present challenges in efficient and accurate adverse event management.

Purpose of the Study:

• To design, implement, and evaluate a computerized data management system for clinical trials.
• To assess the system's performance in managing adverse event information compared to paper-based methods.

Main Methods:

• A computerized system was developed and implemented for clinical trials data management.
• Adverse event cases and a sample of non-adverse event cases were compared between computerized and paper systems.
• Logistic regression and analysis of variance were used to analyze transcription errors, data selection errors, and reporting time.

Main Results:

• The computerized system significantly reduced data transcription errors (17% vs 0%) and overlooked adverse events (35% vs 3%).
• Data selection errors increased slightly with the computer system (2% vs 8%).
• Reporting time for adverse events was reduced by 2-4 months, improving compliance and patient safety.

Conclusions:

• Computerized data management systems enhance the accuracy and efficiency of adverse event reporting in clinical trials.
• Early identification of toxicities and protocol amendments are facilitated, reducing patient risk.
• The system improves compliance with federal regulations for clinical investigators.