Assessing Quality of Surgical Real-World Data From an Automated Electronic Health Record Pipeline

American College of Surgeons
Assessing Quality of Surgical Real-World Data From an Automated Electronic Health Record Pipeline
By adapting and applying a previously described data quality framework, we assessed the quality of our site-specific real-world data and its fitness in supporting surgical research. Sculpting two different types of data quality analysis, investigators can evaluate real-world data on multiple levels of complexity tailored to their specific hypothesis.
Source: American College of Surgeons

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