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Logo of bmcmidmBioMed Centralsearchsubmit a manuscriptregisterthis articleBMC Medical Informatics and Decision Making
 
BMC Med Inform Decis Mak. 2012; 12: 14.
Published online 2012 March 5. doi:  10.1186/1472-6947-12-14
PMCID: PMC3330015
Evaluation of the use of decision-support software in carcino-embryonic antigen (CEA)-based follow-up of patients with colorectal cancer
Reviewed by Charlotte J Verberne,corresponding author1 Cornelis H Nijboer,1 Geertruida H de Bock,2 Irene Grossmann,3 Theo Wiggers,1 and Klaas Havenga1
1Department of Surgery, University Medical Center Groningen, PO Box 30001, 9700 RB Groningen, the Netherlands
2Department of Epidemiology, University Medical Center Groningen, PO Box 30001, 9700 RB Groningen, the Netherlands
3Department of Surgery, Catharina Hospital, PO Box 1350, 5602 ZA Eindhoven, the Netherlands
corresponding authorCorresponding author.
Charlotte J Verberne: c.j.verberne/at/umcg.nl; Cornelis H Nijboer: chnijboer/at/hotmail.com; Geertruida H de Bock: g.h.de.bock/at/umcg.nl; Irene Grossmann: irene.grossmann/at/me.com; Theo Wiggers: t.wiggers/at/umcg.nl; Klaas Havenga: k.havenga/at/umcg.nl
Received April 30, 2011; Accepted March 5, 2012.
Abstract
Background
The present paper is a first evaluation of the use of "CEAwatch", a clinical support software system for surgeons for the follow-up of colorectal cancer (CRC) patients. This system gathers Carcino-Embryonic Antigen (CEA) values and automatically returns a recommendation based on the latest values.
Methods
Consecutive patients receiving follow-up care for CRC fulfilling our in- and exclusion criteria were identified to participate in this study. From August 2008, when the software was introduced, patients were asked to undergo the software-supported follow-up. Safety of the follow-up, experiences of working with the software, and technical issues were analyzed.
Results
245 patients were identified. The software-supported group contained 184 patients; the control group contained 61 patients. The software was safe in finding the same amount of recurrent disease with fewer outpatient visits, and revealed few technical problems. Clinicians experienced a decrease in follow-up workload of up to 50% with high adherence to the follow-up scheme.
Conclusion
CEAwatch is an efficient software tool helping clinicians working with large numbers of follow-up patients. The number of outpatient visits can safely be reduced, thus significantly decreasing workload for clinicians.
Keywords: follow-up, colorectal cancer, workflow automation
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