Explore Data Quality Challenges Based on Data Structure of Electronic Health Records
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35132-7_17
Reference19 articles.
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3. Weiskopf, N.G., Weng, C.: Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research. J. Am. Med. Inform. Assoc. 20(1), 144–151 (2013)
4. Coleman, N., Halas, G., Peeler, W., Casaclang, N., Williamson, T., Katz, A.: From patient care to research: a validation study examining the factors contributing to data quality in a primary care electronic medical record database. BMC Fam. Pract. 16(1), 11 (2015)
5. Häyrinen, K., Saranto, K., Nykänen, P.: Definition, structure, content, use and impacts of electronic health records: a review of the research literature. Int. J. Med. Inform. 77(5), 291–304 (2008)
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