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External Data Transfers. Journal of the Society for Clinical Data Management. 2023; 1(1): 14, pp. 15. DOI: https://doi.org/10.47912/jscdm.334REVIEW ARTICLEExternal Data Transfers Data collected from
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Data mining in clinical refers to the process of analyzing large sets of health data to discover patterns, trends, and associations that can improve patient care and clinical outcomes.
Healthcare organizations, clinical researchers, and other entities that utilize clinical data for research or quality improvement purposes are typically required to file data mining reports.
Filling out data mining in clinical often involves compiling relevant data from electronic health records, ensuring compliance with regulations, and providing a detailed analysis of findings in a specified format.
The purpose of data mining in clinical is to enhance decision-making, improve patient outcomes, identify risk factors, and optimize resource allocation in healthcare.
Information reported on data mining in clinical includes data sources, methodologies used, insights gained, and recommendations based on the analyzed data.
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