Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative.
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| Title: | Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. |
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| Authors: | Pfaff ER; Department of Medicine, UNC Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA., Girvin AT; Palantir Technologies, Denver, Colorado, USA., Gabriel DL; Section of Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Kostka K; The OHDSI Center at the Roux Institute, Northeastern University, Portland, Maine, USA., Morris M; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Palchuk MB; TriNetX LLC, Cambridge, Massachusetts, USA., Lehmann HP; Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA., Amor B; Palantir Technologies, Denver, Colorado, USA., Bissell M; Palantir Technologies, Denver, Colorado, USA., Bradwell KR; Palantir Technologies, Denver, Colorado, USA., Gold S; Section of Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Hong SS; Section of Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Loomba J; University of Virginia, Charlottesville, Virginia, USA., Manna A; Palantir Technologies, Denver, Colorado, USA., McMurry JA; Center for Health AI, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA., Niehaus E; Palantir Technologies, Denver, Colorado, USA., Qureshi N; Palantir Technologies, Denver, Colorado, USA., Walden A; Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA., Zhang XT; Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Zhu RL; Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Moffitt RA; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA., Haendel MA; University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA., Chute CG; Schools of Medicine, Public Health, and Nursing, Johns Hopkins University, Baltimore, Maryland, USA., Adams WG, Al-Shukri S, Anzalone A, Baghal A, Bennett TD, Bernstam EV, Bernstam EV, Bissell MM, Bush B, Campion TR, Castro V, Chang J, Chaudhari DD, Chen W, Chu S, Cimino JJ, Crandall KA, Crooks M, Davies SJD, DiPalazzo J, Dorr D, Eckrich D, Eltinge SE, Fort DG, Golovko G, Gupta S, Haendel MA, Hajagos JG, Hanauer DA, Harnett BM, Horswell R, Huang N, Johnson SG, Kahn M, Khanipov K, Kieler C, Luzuriaga KR, Maidlow S, Martinez A, Mathew J, McClay JC, McMahan G, Melancon B, Meystre S, Miele L, Morizono H, Pablo R, Patel L, Phuong J, Popham DJ, Pulgarin C, Santos C, Sarkar IN, Sazo N, Setoguchi S, Soby S, Surampalli S, Suver C, Vangala UMR, Visweswaran S, Oehsen JV, Walters KM, Wiley L, Williams DA, Zai A |
| Corporate Authors: | N3C Consortium |
| Source: | Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2022 Mar 15; Vol. 29 (4), pp. 609-618. |
| 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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| ISSN: | 1527-974X |
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| DOI: | 10.1093/jamia/ocab217 |
