
Determining the Time of Cancer Recurrence Using Claims or Electronic Medical Record Data
Author(s) -
Hajime Uno,
Debra P. Ritzwoller,
Angel M. Cronin,
Nikki M. Carroll,
Mark C. Hornbrook,
Michael J. Hassett
Publication year - 2018
Publication title -
jco clinical cancer informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.188
H-Index - 12
ISSN - 2473-4276
DOI - 10.1200/cci.17.00163
Subject(s) - electronic medical record , medicine , cancer , medical record , medical emergency
Data from claims and electronic medical records (EMRs) are frequently used to identify clinical events (eg, cancer diagnosis, stroke). However, accurately determining the time of clinical events can be challenging, and the methods used to generate time estimates are underdeveloped. We sought to develop an approach to determine the time of a clinical event-cancer recurrence-using high-dimensional longitudinal structured data.