Electronic health record data quality assessment and tools: a systematic review.
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| Title: | Electronic health record data quality assessment and tools: a systematic review. |
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| Authors: | Lewis AE; Division of Computational and Data Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.; Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, Missouri, USA., Weiskopf N; Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA., Abrams ZB; Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, Missouri, USA., Foraker R; Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, Missouri, USA., Lai AM; Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, Missouri, USA., Payne PRO; Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, Missouri, USA., Gupta A; Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, Missouri, USA. |
| Source: | Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2023 Sep 25; Vol. 30 (10), pp. 1730-1740. |
| Publication Type: | Systematic Review; Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1527-974X |
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| DOI: | 10.1093/jamia/ocad120 |
