Statistical methods to harmonize electronic health record data across healthcare systems: case study and lessons learned.
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| Title: | Statistical methods to harmonize electronic health record data across healthcare systems: case study and lessons learned. |
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| Authors: | Shi X; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, United States., Zhai Y; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, United States., Yu X; Department of Computer Sciences, University of Wisconsin, Madison 53706, United States., Li X; School of Statistics, University of Minnesota, Minneapolis, MN 55455, United States., Hazlehurst BL; Kaiser Permanente Northwest, Center for Health Research, Portland, OR 97227, United States., Nyongesa DB; Kaiser Permanente Northwest, Center for Health Research, Portland, OR 97227, United States., Sapp DS; Kaiser Permanente Northwest, Center for Health Research, Portland, OR 97227, United States., Williamson BD; Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, United States., Carrell DS; Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, United States.; Division of Biomedical Health Informatics, Department of Biomedical Informatics and Medical Education, University of Washington School of Medicine, Seattle, WA 98195, United States., Healy L; Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, United States., Cushing-Haugen KL; Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, United States., Wong J; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, United States., Wang SV; Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Boston, MA 02115, United States., Floyd JS; Department of Medicine, School of Medicine, University of Washington, Seattle, WA 98195, United States.; Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA 98195, United States.; Cardiovascular Health Research Unit, University of Washington, Seattle, WA 98195, United States., Shattuck K; Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02215, United States., McGown S; Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02215, United States., Alam S; Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02215, United States., Hernández-Muñoz JJ; Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD 20993, United States., Li J; Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD 20993, United States., Ma Y; Office of Biostatistics, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD 20993, United States., Stojanovic D; Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD 20993, United States., Raman SR; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, United States., Davis SE; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, United States., Cai T; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States., Nelson JC; Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, United States., Heagerty PJ; Department of Biostatistics, University of Washington, Seattle, WA 1415 Washington Heights, Ann Arbor, MI 48109, United States. |
| Source: | Bioinformatics (Oxford, England) [Bioinformatics] 2026 Feb 28; Vol. 42 (3). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41769828 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Statistical methods to harmonize electronic health record data across healthcare systems: case study and lessons learned. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Shi+X%22">Shi X</searchLink>; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, United States.<br /><searchLink fieldCode="AU" term="%22Zhai+Y%22">Zhai Y</searchLink>; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, United States.<br /><searchLink fieldCode="AU" term="%22Yu+X%22">Yu X</searchLink>; Department of Computer Sciences, University of Wisconsin, Madison 53706, United States.<br /><searchLink fieldCode="AU" term="%22Li+X%22">Li X</searchLink>; School of Statistics, University of Minnesota, Minneapolis, MN 55455, United States.<br /><searchLink fieldCode="AU" term="%22Hazlehurst+BL%22">Hazlehurst BL</searchLink>; Kaiser Permanente Northwest, Center for Health Research, Portland, OR 97227, United States.<br /><searchLink fieldCode="AU" term="%22Nyongesa+DB%22">Nyongesa DB</searchLink>; Kaiser Permanente Northwest, Center for Health Research, Portland, OR 97227, United States.<br /><searchLink fieldCode="AU" term="%22Sapp+DS%22">Sapp DS</searchLink>; Kaiser Permanente Northwest, Center for Health Research, Portland, OR 97227, United States.<br /><searchLink fieldCode="AU" term="%22Williamson+BD%22">Williamson BD</searchLink>; Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, United States.<br /><searchLink fieldCode="AU" term="%22Carrell+DS%22">Carrell DS</searchLink>; Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, United States.; Division of Biomedical Health Informatics, Department of Biomedical Informatics and Medical Education, University of Washington School of Medicine, Seattle, WA 98195, United States.<br /><searchLink fieldCode="AU" term="%22Healy+L%22">Healy L</searchLink>; Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, United States.<br /><searchLink fieldCode="AU" term="%22Cushing-Haugen+KL%22">Cushing-Haugen KL</searchLink>; Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, United States.<br /><searchLink fieldCode="AU" term="%22Wong+J%22">Wong J</searchLink>; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, United States.<br /><searchLink fieldCode="AU" term="%22Wang+SV%22">Wang SV</searchLink>; Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Boston, MA 02115, United States.<br /><searchLink fieldCode="AU" term="%22Floyd+JS%22">Floyd JS</searchLink>; Department of Medicine, School of Medicine, University of Washington, Seattle, WA 98195, United States.; Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA 98195, United States.; Cardiovascular Health Research Unit, University of Washington, Seattle, WA 98195, United States.<br /><searchLink fieldCode="AU" term="%22Shattuck+K%22">Shattuck K</searchLink>; Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02215, United States.<br /><searchLink fieldCode="AU" term="%22McGown+S%22">McGown S</searchLink>; Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02215, United States.<br /><searchLink fieldCode="AU" term="%22Alam+S%22">Alam S</searchLink>; Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02215, United States.<br /><searchLink fieldCode="AU" term="%22Hernández-Muñoz+JJ%22">Hernández-Muñoz JJ</searchLink>; Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD 20993, United States.<br /><searchLink fieldCode="AU" term="%22Li+J%22">Li J</searchLink>; Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD 20993, United States.<br /><searchLink fieldCode="AU" term="%22Ma+Y%22">Ma Y</searchLink>; Office of Biostatistics, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD 20993, United States.<br /><searchLink fieldCode="AU" term="%22Stojanovic+D%22">Stojanovic D</searchLink>; Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD 20993, United States.<br /><searchLink fieldCode="AU" term="%22Raman+SR%22">Raman SR</searchLink>; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27710, United States.<br /><searchLink fieldCode="AU" term="%22Davis+SE%22">Davis SE</searchLink>; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, United States.<br /><searchLink fieldCode="AU" term="%22Cai+T%22">Cai T</searchLink>; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States.<br /><searchLink fieldCode="AU" term="%22Nelson+JC%22">Nelson JC</searchLink>; Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, United States.<br /><searchLink fieldCode="AU" term="%22Heagerty+PJ%22">Heagerty PJ</searchLink>; Department of Biostatistics, University of Washington, Seattle, WA 1415 Washington Heights, Ann Arbor, MI 48109, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229808944%22">Bioinformatics (Oxford, England)</searchLink> [Bioinformatics] 2026 Feb 28; Vol. 42 (3). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9808944 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1367-4811 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213674803%22">13674803 </searchLink><i>NLM ISO Abbreviation: </i>Bioinformatics <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41769828 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/bioinformatics/btag107 Languages: – Code: eng Text: English Titles: – TitleFull: Statistical methods to harmonize electronic health record data across healthcare systems: case study and lessons learned. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shi X – PersonEntity: Name: NameFull: Zhai Y – PersonEntity: Name: NameFull: Yu X – PersonEntity: Name: NameFull: Li X – PersonEntity: Name: NameFull: Hazlehurst BL – PersonEntity: Name: NameFull: Nyongesa DB – PersonEntity: Name: NameFull: Sapp DS – PersonEntity: Name: NameFull: Williamson BD – PersonEntity: Name: NameFull: Carrell DS – PersonEntity: Name: NameFull: Healy L – PersonEntity: Name: NameFull: Cushing-Haugen KL – PersonEntity: Name: NameFull: Wong J – PersonEntity: Name: NameFull: Wang SV – PersonEntity: Name: NameFull: Floyd JS – PersonEntity: Name: NameFull: Shattuck K – PersonEntity: Name: NameFull: McGown S – PersonEntity: Name: NameFull: Alam S – PersonEntity: Name: NameFull: Hernández-Muñoz JJ – PersonEntity: Name: NameFull: Li J – PersonEntity: Name: NameFull: Ma Y – PersonEntity: Name: NameFull: Stojanovic D – PersonEntity: Name: NameFull: Raman SR – PersonEntity: Name: NameFull: Davis SE – PersonEntity: Name: NameFull: Cai T – PersonEntity: Name: NameFull: Nelson JC – PersonEntity: Name: NameFull: Heagerty PJ IsPartOfRelationships: – BibEntity: Dates: – D: 28 M: 02 Text: 2026 Feb 28 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1367-4811 Numbering: – Type: volume Value: 42 – Type: issue Value: 3 Titles: – TitleFull: Bioinformatics (Oxford, England) Type: main |
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