Does Your Data Collection Measure Up?

View this message in a Web browser When Good Data Goes Bad Stay in step with FDA guidelines and the consequences of improper data collection and analysis. Read Now Thomas Chaniago, Today, regulations demand better clinical data collection and management practices.  If your data quality doesn’t meet today’s government standards, your trial results won’t be accepted by regulators.  Old tools - like spreadsheets used as clinical trial data registries - are not capable of meeting these current, more stringent data quality standards. Does your data quality measure up? What Can Happen When Submitting Bad Data? Old Tools Can Increase Risk Standardization of data and reporting capabilities will become even more critical as more clinical trials are implemented with a risk based monitoring approach. Establish clear, consistent performance expectations Ensure measures which reduce the garbage in-garbage out problem Facilitate adoption of best practices across sponsors and services providers Stay Connected Oracle for Health Sciences.

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