Work

Assessing quality and agreement of structured data in automatic versus manual abstraction of the electronic health record for a clinical epidemiology study

Year: 2021

Type: article

Source: Research Methods in Medicine & Health Sciences

DOI: 10.1177/26320843211061287

Authors: Joseph Grant Brazeal, Alexander V Alekseyenko, Hong Li, Mario Fugal, Katie Kirchoff, Courtney Marsh, David N Lewin, Jennifer Wu, Jihad Obeid, Kristin Wallace

Institutions: Medical University of South Carolina, MUSC Hollings Cancer Center, Northwestern University, Robert H. Lurie Comprehensive Cancer Center of Northwestern University

Language: English

Topic: Electronic Health Records Systems

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Hollings Cancer Center, Medical University of South Carolina, National Cancer Institute, U.S. National Library of Medicine

Awards: G1410469566, Distance-based Panomic Analytics for Microbiome Data, Race, pathomolecular signature and colorectal cancer survival, Race, prognostic markers and survival in early and late-onset colorectal cancer, G947173365

OpenAlex ID: W3216304191

FWCI: 0.656

Cites: 34

Cited by: 5

Related to: 10