Publication
Evaluation of the use of decision-support software in carcino-embryonic antigen (CEA)-based follow-up of patients with colorectal cancer
Verberne, C. J., Nijboer, C. H., de Bock, G. H., Grossmann, I., Wiggers, T. & Havenga, K., 5-Mar-2012, In : BMC Medical Informatics and Decision Making. 12, 5 p., 14.Research output: Contribution to journal › Article › Academic › peer-review

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- Evaluation of the use of decision-support software in carcino-embryonic antigen (CEA)-based followup of patients with colorectal cancer
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DOI
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.
Original language | English |
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Article number | 14 |
Number of pages | 5 |
Journal | BMC Medical Informatics and Decision Making |
Volume | 12 |
Publication status | Published - 5-Mar-2012 |
- follow-up, colorectal cancer, workflow automation
Keywords
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