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Clinical Epidemiology Volume 14, 2022 - Issue
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ORIGINAL RESEARCH

Advancing an Algorithm for the Identification of Patients with High Data-Continuity in Electronic Health Records

David Merola1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;2 Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USAORCID Iconhttps://orcid.org/0000-0003-0528-0956View further author information
ORCID Icon,
Sebastian Schneeweiss1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;2 Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USAORCID Iconhttps://orcid.org/0000-0003-2575-467XView further author information
ORCID Icon,
Yinzhu Jin1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAView further author information
,
Joyce Lii1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAView further author information
&
Kueiyu Joshua Lin1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;3 Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USACorrespondence[email protected]
View further author information
Pages 1339-1349 | Received 09 Apr 2022, Accepted 09 Jul 2022, Published online: 08 Nov 2022

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