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Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset.

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Title: Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset.
Authors: Bradwell KR; Palantir Technologies, Denver, Colorado, USA., Wooldridge JT; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA., Amor B; Palantir Technologies, Denver, Colorado, USA., Bennett TD; Section of Informatics and Data Science, Department of Pediatrics, University of Colorado School of Medicine, University of Colorado, Aurora, Colorado, USA., Anand A; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA., Bremer C; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA., Yoo YJ; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA., Qian Z; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA., Johnson SG; Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA., Pfaff ER; Department of Medicine, North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA., Girvin AT; Palantir Technologies, Denver, Colorado, USA., Manna A; Palantir Technologies, Denver, Colorado, USA., Niehaus EA; Palantir Technologies, Denver, Colorado, USA., Hong SS; School of Medicine, Section of Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Zhang XT; Department of Medicine, Johns Hopkins, Baltimore, Maryland, USA., Zhu RL; Department of Medicine, Johns Hopkins, Baltimore, Maryland, USA., Bissell M; Palantir Technologies, Denver, Colorado, USA., Qureshi N; Palantir Technologies, Denver, Colorado, USA., Saltz J; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA., Haendel MA; Center for Health AI, University of Colorado, Aurora, Colorado, USA., Chute CG; Schools of Medicine, Public Health, and Nursing, Johns Hopkins University, Baltimore, Maryland, USA., Lehmann HP; Department of Medicine, Johns Hopkins, Baltimore, Maryland, USA., Moffitt RA; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA.
Corporate Authors: N3C Consortium
Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2022 Jun 14; Vol. 29 (7), pp. 1172-1182.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
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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  Data: Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset.
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