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AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 20, 2014
Sick patients have more data: the non-random completeness of electronic health recordsNicole G Weiskopf, Alex Rusanov, Chunhua Weng
Journal of the American Medical Informatics Association : JAMIA|October 19, 2021
The quality of social determinants data in the electronic health record: a systematic reviewLily A Cook, Jonathan Sachs, Nicole G Weiskopf
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|August 30, 2021
An Analysis of Two Sources of Cardiology Patient Data to Measure Medication AgreementRose C Goueth, Aaron M Cohen, Nicole G Weiskopf
BMC Medical Informatics and Decision Making|June 12, 2014
Hidden in plain sight: bias towards sick patients when sampling patients with sufficient electronic health record data for researchAlexander Rusanov, Nicole G Weiskopf, Shuang Wang, et al.
EGEMS (Washington, DC)|June 9, 2018
A Data Quality Assessment Guideline for Electronic Health Record Data ReuseNicole G Weiskopf, Suzanne Bakken, George Hripcsak, et al.
Journal of Biomedical Informatics|July 4, 2013
Defining and measuring completeness of electronic health records for secondary useNicole G Weiskopf, George Hripcsak, Sushmita Swaminathan, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|April 21, 2020
Towards augmenting structured EHR data: a comparison of manual chart review and patient self-reportNicole G Weiskopf, Aaron M Cohen, Joely Hannan, et al.
Journal of the American Medical Informatics Association : JAMIA|February 8, 2023
Healthcare utilization is a collider: an introduction to collider bias in EHR data reuseNicole G Weiskopf, David A Dorr, Christie Jackson, et al.
Journal of the American Board of Family Medicine : JABFM|May 13, 2024
Variable Impact of Medical Scribes on Physician Electronic Health Record Documentation Practices: A Quantitative Analysis Across a Large, Integrated Health-SystemSarah T Florig, Sky Corby, Tanuj Devara, et al.
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