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Clinical Epidemiology Volume 12, 2020 - Issue
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Original Research

External Validation of an Algorithm to Identify Patients with High Data-Completeness in Electronic Health Records for Comparative Effectiveness Research

Kueiyu Joshua Lin1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;2 Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USACorrespondence[email protected]
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,
Gary E Rosenthal3 Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USAView further author information
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Shawn N Murphy4 Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA;5 Research Information Science and Computing, Partners Healthcare, Somerville, MA, USAView further author information
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Kenneth D Mandl6 Computational Health Informatics Program, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USAORCID Iconhttps://orcid.org/0000-0002-9781-0477View further author information
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Yinzhu Jin1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAView further author information
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Robert J Glynn1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAORCID Iconhttps://orcid.org/0000-0002-0697-8996View further author information
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Sebastian Schneeweiss1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAView further author information
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Pages 133-141 | Published online: 04 Feb 2020

Citations (12)

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Read on this site (2)

David Merola, Sebastian Schneeweiss, Yinzhu Jin, Joyce Lii & Kueiyu Joshua Lin. (2022) Advancing an Algorithm for the Identification of Patients with High Data-Continuity in Electronic Health Records. Clinical Epidemiology 14, pages 1339-1349.
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Shirley V Wang & Sebastian Schneeweiss. (2022) A Framework for Visualizing Study Designs and Data Observability in Electronic Health Record Data. Clinical Epidemiology 14, pages 601-608.
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Articles from other publishers (10)

Yinzhu Jin, Janick G. Weberpals, Shirley V. Wang, Rishi J. Desai, David Merola & Kueiyu Joshua Lin. (2023) The Impact of Longitudinal Data‐Completeness of Electronic Health Record Data on the Prediction Performance of Clinical Risk Scores . Clinical Pharmacology & Therapeutics 113:6, pages 1359-1367.
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Zhaoyi Chen, Hansi Zhang, Xi Yang, Songzi Wu, Xing He, Jie Xu, Jingchuan Guo, Mattia Prosperi, Fei Wang, Hua Xu, Yong Chen, Hui Hu, Steven T DeKosky, Matthew Farrer, Yi Guo, Yonghui Wu & Jiang Bian. (2023) Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer’s disease and related dementias. International Journal of Medical Informatics 170, pages 104973.
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Grammati Sarri, Dimitri Bennett, Thomas Debray, Anouk Deruaz‐Luyet, Montse Soriano Gabarró, Joan A. Largent, Xiaojuan Li, Wei Liu, Jennifer L. Lund, Daniela C. Moga, Mugdha Gokhale, Christopher T. Rentsch, Xuerong Wen, Chen Yanover, Yizhou Ye, Huifeng Yun, Andrew R. Zullo & Kueiyu Joshua Lin. (2022) ISPE‐Endorsed Guidance in Using Electronic Health Records for Comparative Effectiveness Research in COVID‐19: Opportunities and Trade‐Offs. Clinical Pharmacology & Therapeutics 112:5, pages 990-999.
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Yinzhu Jin, Sebastian Schneeweiss, Dave Merola & Kueiyu Joshua Lin. (2022) Impact of longitudinal data-completeness of electronic health record data on risk score misclassification. Journal of the American Medical Informatics Association 29:7, pages 1225-1232.
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Brent A. Williams, Stephen Voyce, Stephen Sidney, Véronique L. Roger, Timothy B. Plante, Sharon Larson, Michael J. LaMonte, Darwin R. Labarthe, Bailey M. DeBarmore, Alexander R. Chang, Alanna M. Chamberlain & Catherine P. Benziger. (2022) Establishing a National Cardiovascular Disease Surveillance System in the United States Using Electronic Health Record Data: Key Strengths and Limitations. Journal of the American Heart Association 11:8.
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Chien-Ning Hsu, Kelly Huang, Fang-Ju Lin, Huang-Tz Ou, Ling-Ya Huang, Hsiao-Ching Kuo, Chi-Chuan Wang & Sengwee Toh. (2022) Continuity and Completeness of Electronic Health Record Data for Patients Treated With Oral Hypoglycemic Agents: Findings From Healthcare Delivery Systems in Taiwan. Frontiers in Pharmacology 13.
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Kueiyu Joshua Lin, Yinzhu Jin, Joshua Gagne, Robert J. Glynn, Shawn N. Murphy, Angela Tong & Sebastian Schneeweiss. (2021) Longitudinal Data Discontinuity in Electronic Health Records and Consequences for Medication Effectiveness Studies. Clinical Pharmacology & Therapeutics 111:1, pages 243-251.
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Katharina Tabea Jungo, Sven Streit & Julie C. Lauffenburger. (2021) Patient factors associated with new prescribing of potentially inappropriate medications in multimorbid US older adults using multiple medications. BMC Geriatrics 21:1.
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Ann Chen Wu, Corina Graif, Shannon Gwin Mitchell, John Meurer & Kenneth D. Mandl. (2021) Creative Approaches for Assessing Long-term Outcomes in Children. Pediatrics 148:Supplement 1, pages s25-s32.
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Melissa A Haendel, Christopher G Chute, Tellen D Bennett, David A Eichmann, Justin Guinney, Warren A Kibbe, Philip R O Payne, Emily R Pfaff, Peter N Robinson, Joel H Saltz, Heidi Spratt, Christine Suver, John Wilbanks, Adam B Wilcox, Andrew E Williams, Chunlei Wu, Clair Blacketer, Robert L Bradford, James J Cimino, Marshall Clark, Evan W Colmenares, Patricia A Francis, Davera Gabriel, Alexis Graves, Raju Hemadri, Stephanie S Hong, George Hripscak, Dazhi Jiao, Jeffrey G Klann, Kristin Kostka, Adam M Lee, Harold P Lehmann, Lora Lingrey, Robert T Miller, Michele Morris, Shawn N Murphy, Karthik Natarajan, Matvey B Palchuk, Usman Sheikh, Harold Solbrig, Shyam Visweswaran, Anita Walden, Kellie M Walters, Griffin M Weber, Xiaohan Tanner Zhang, Richard L Zhu, Benjamin Amor, Andrew T Girvin, Amin Manna, Nabeel Qureshi, Michael G Kurilla, Sam G Michael, Lili M Portilla, Joni L Rutter, Christopher P Austin & Ken R Gersing. (2021) The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. Journal of the American Medical Informatics Association 28:3, pages 427-443.
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