
Ascertainment of Aspirin Exposure Using Structured and Unstructured Large-scale Electronic Health Record Data
Author(s) -
Ranier Bustamante,
Ashley Earles,
James D. Murphy,
Alex K. Bryant,
Olga V. Patterson,
Andrew J. Gawron,
Tonya Kaltenbach,
Mary A. Whooley,
Deborah A. Fisher,
Sameer D. Saini,
Samir Gupta,
Lin Liu
Publication year - 2019
Publication title -
medical care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.632
H-Index - 178
eISSN - 1537-1948
pISSN - 0025-7079
DOI - 10.1097/mlr.0000000000001065
Subject(s) - aspirin , medicine , confidence interval , veterans affairs , colonoscopy , retrospective cohort study , medical prescription , unstructured data , emergency medicine , colorectal cancer , cancer , computer science , data mining , big data , pharmacology
Aspirin impacts risk for important outcomes such as cancer, cardiovascular disease, and gastrointestinal bleeding. However, ascertaining exposure to medications available both by prescription and over-the-counter such as aspirin for research and quality improvement purposes is a challenge.