When conducting clinical research, the goal is always to achieve the cleanest data possible. If your data is based on undesirable collection methods, messy data entry, or untrustworthy statistical analysis, you are likely to leave many questions unanswered. And vague results won't cut it with the FDA’s rigorous data standards.
So, what are the best practices for efficient clean data monitoring in clinical research trials? We believe risk-based monitoring (RBM) and auto queries can give you the best chance of reporting the strongest results.