Computer-assisted flagging of individuals at high risk of colorectal cancer in a large health maintenance organization using the ColonFlag Test

Ran Goshen, Eran Choman, Ayelet Ran, Efrat Muller, Revital Kariv, Gabriel Chodick, Nachman Ash, Steven Narod, Varda Shalev

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Purpose To evaluate in a sample of adults who had been noncompliant with colorectal cancer (CRC) screening whether screening could be enhanced by an automated patient recall system based on identifying high-risk individuals using the ColonFlag test and an electronic medical record database. Methods A total of 79,671 individuals who were determined to be noncompliant with current screening recommendations were identified in the Maccabi Health Services program in Israel. Their cancer risk was determined by ColonFlag using information on age, sex, and CBC results. Doctors of individuals who were flagged as high risk were notified and asked to follow up with their patients. Results The ColonFlag identified 688 men and women who scored in the highest 0.87 percentile. Of these individuals, 254 had colonoscopies performed by Maccabi physicians, and 19 CRCs (7.5%) were found. An additional 15 cancers primarily identified outside of Maccabi were found through code matching. Conclusion The ColonFlag test is a rapid, efficient, and inexpensive test that can be applied to scan electronic medical records to identify individuals at high risk of CRC who would otherwise avoid screening.

Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalJCO clinical cancer informatics
Volume2018
Issue number2
DOIs
StatePublished - 2018

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