E
Elizabeth Hanchrow
Researcher at Veterans Health Administration
Publications - 4
Citations - 45
Elizabeth Hanchrow is an academic researcher from Veterans Health Administration. The author has contributed to research in topics: Internal medicine & LOINC. The author has an hindex of 2, co-authored 2 publications receiving 28 citations. Previous affiliations of Elizabeth Hanchrow include Vanderbilt University & Vanderbilt University Medical Center.
Papers
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Journal ArticleDOI
Incrementally Transforming Electronic Medical Records into the Observational Medical Outcomes Partnership Common Data Model: A Multidimensional Quality Assurance Approach.
Kristine E. Lynch,Stephen A. Deppen,Scott L. DuVall,Benjamin Viernes,Aize Cao,Daniel Park,Elizabeth Hanchrow,Kushan Hewa,Peter Greaves,Michael E. Matheny +9 more
TL;DR: A quality assurance (QA) process and code base is developed to accompany the incremental transformation of the Department of Veterans Affairs Corporate Data Warehouse health care database into the Observational Medical Outcomes Partnership (OMOP) CDM to prevent incremental load errors.
Journal ArticleDOI
COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes.
Xiao Dong,Jianfu Li,Ekin Soysal,Jian-Guo Bian,Scott L. DuVall,Scott L. DuVall,Elizabeth Hanchrow,Elizabeth Hanchrow,Hongfang Liu,Kristine E. Lynch,Kristine E. Lynch,Michael E. Matheny,Michael E. Matheny,Karthik Natarajan,Karthik Natarajan,Lucila Ohno-Machado,Lucila Ohno-Machado,Serguei V. S. Pakhomov,Ruth M. Reeves,Ruth M. Reeves,Amy M. Sitapati,Swapna Abhyankar,Theresa Cullen,Jami Deckard,Xiaoqian Jiang,Robert Murphy,Hua Xu +26 more
TL;DR: A simple but effective rule-based tool to automatically normalize local COVID-19 testing names to standard LOINC (Logical Observation Identifiers Names and Codes) codes is developed and evaluated, which shows that it could achieve an accuracy of 97.4% on an independent test set.
Posted ContentDOI
Multinational Patterns of Second-line Anti-hyperglycemic Drug Initiation Across Cardiovascular Risk Groups: A Federated Pharmacoepidemiologic Evaluation in LEGEND-T2DM
Rohan Khera,Lovedeep Singh Dhingra,Ashraf Aminorroaya,K. Li,J. J. Zhou,F. Arshad,Clair Blacketer,Mary G. Bowring,Fengxiao Bu,Michael L. Cook,David A. Dorr,Talita Duarte-Salles,Scott L. DuVall,Thomas Falconer,Timothy French,Elizabeth Hanchrow,S.Yu. Horban,Wallis C.Y. Lau,J L Li,Y. Liu,Y.S. Lu,Kenneth K.C. Man,Michael E. Matheny,Nestoras Mathioudakis,Michael F McLemore,Evan P. Minty,Daniel R. Morales,P Nagy,Akihisa Nishimura,Anna Ostropolets,A. Pistillo,J. Posada,Nicole L. Pratt,Carlen Reyes,J. Ross,Sarah Seager,Neelam Shah,Kellen R. Simon,E. Wan,J L Yang,Cheng Yin,Seng Chan You,Martijn J. Schuemie,Patrick B. Ryan,G. Hripcsak,Krumholz +45 more
TL;DR: In this paper, the authors evaluated the uptake of second-line antihyperglycemic agents among patients with type-2 diabetes mellitus (T2DM) receiving metformin.
Proceedings Article
Data-driven automated classification algorithms for acute health conditions: Applying PheNorm to COVID-19 disease
Joshua C. Smith,Daniel Park,Jill Whitaker Bey,Michael F McLemore,Elizabeth Hanchrow,Dax M. Westerman,Joshua Osmanski,R. Winter,Arvind Ramaprasan,Ann Hartmann Kelley,Mary M. Shea,David Cronkite,Saranrat Wittayanukorn,Danijela A. Stojanovic,Yueqin Zhao,Darren Toh,Kevin B. Johnson,David M. Aronoff,David Carrell +18 more