HealthIT Answers October 15, 2025
In research and clinical trials, clean and accurate data is not merely a best practice, it is the lifeblood of credible clinical research and a prerequisite for meaningful results. Without it, trials risk being compromised, and the conclusions drawn may be misleading or invalid. Data quality underpins evidence-based medicine, and when it falters, trust in a study and the entire research ecosystem can unravel, jeopardizing public confidence and scientific progress. Yet ensuring clean, timely, and reliable data is far more nuanced than it appears on the surface.
The Hidden Vulnerabilities in Lab Data
Laboratories are built for precision, but even in tightly controlled environments, there are opportunities for error. A technician manually recording an observation, a sample delayed in transit,...
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