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Maintaining data quality is a fundamental requirement for any successful and long-term data management. Providing high-quality, reliable, and statistically sound data is a primary goal for clinical ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data has grades. Much like olive oil, flour, gasoline, beef ...

Errors peaked on postoperative day (POD) 1 for P&P, and on POD 2 for ePRO. Conclusions: It is possible to improve data quality of longitudinally collected PRO through ePRO, compared with P&P. However, ...

Our survey with National Health Executive of over 350 healthcare professionals reveals ongoing challenges in the industry. Read the blog to explore how data impacts patient care, operational ...

Information about data quality helps potential data users to determine whether and how data can be used and enables the analysis and interpretation of such data. Providing data quality information ...

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