Applying operations research to optimize a novel population management system for cancer screening

Journal article

Open access

Adrian H Zai, Seokjin Kim, Arnold Kamis, Ken Hung, Jeremiah G Ronquillo, Henry C Chueh and Steven J Atlas

Journal of the American Medical Informatics Association : JAMIA, Vol.21(e1), pp.e129-e135

02/2014

PMCID: PMC3957383

PMID: 24043318

Abstract

cancer screening, preventive screening

electronic medical records, electronic health records

operations research, queue, queuing theory

optimization, optimize limited resources

population management, registries

Research and Applications

simulation, simulation modeling

url

https://doi.org/10.1136/amiajnl-2013-001681View

Published (Version of record) Open

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Title: Applying operations research to optimize a novel population management system for cancer screening
Creators: Adrian H Zai - , , , , , , , , , ,
Seokjin Kim - , , , , , , , , , ,
Arnold Kamis - , , , , , , , , , ,
Ken Hung - , , , , , , , , , ,
Jeremiah G Ronquillo - , , , , , , , , , ,
Henry C Chueh - , , , , , , , , , ,
Steven J Atlas - , , , , , , , , , ,
Publication Details: Journal of the American Medical Informatics Association : JAMIA, Vol.21(e1), pp.e129-e135
Publisher: BMJ Publishing Group
Identifiers: 9924086413801921
Academic Unit: Brandeis International Business School
Language: English
Resource Type: Journal article