Recently released draft framework documents from the National Evaluation System for health Technology Coordinating Center (NESTcc) discuss best practices for study methodology and ensuring data quality for medical devices.
The data-quality document, developed by a 12-person subcommittee chaired by Lesley Curtis, director of the Center for Pragmatic Health Systems Research at the Duke University School of Medicine, is focused on ways to develop high-quality data through studies incorporating real-world evidence, such as that found in electronic health records
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