Abstract
Adherence to guidelines and protocols in clinical practice can be difficult to achieve. We describe the implementation of a Clinical Decision Support System (CDSS) for glucose control on the Intensive Cardiac Care Unit (ICCU) of the Erasmus MC. An existing paper protocol for glucose control was used for the CDSS rule set. In the first phase we implemented a proof of concept of a CDSS: a web 2.0 AJAX-driven web screen, which resulted in an improved adherence to the glucose guideline. This paper will reflect on the technical implementations and challenges of our experience with this process. The end product will allow: storage of guidelines in a shareable and uniform matter, presentation of guidelines in a more clear way to physicians, a more flexible platform to maintain guidelines, the ability to adjust guidelines to incorporate changes based on collected evidence from the CDSS and/or literature review, and be able to better review the outcome.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Garg, A.X., Adhikari, N.K.J., McDonald, H., et al.: Effects of Computerized Clinical Decision Support Systems on Practitioner Performance and Patient Outcomes: A Systematic Review. JAMA 293(10), 1223–1238 (2005)
Kaplan, B.: Evaluating informatics applications–clinical decision support systems literature review. International Journal of Medical Informatics 64(1), 15–37 (2001)
Weston, C., Walker, L., Birkhead, J.: National Audit of Myocardial Infarction Project NIFCOR. Early impact of insulin treatment on mortality for hyperglycaemic patients without known diabetes who present with an acute coronary syndrome. Heart 93(12), 1542–1546 (2007)
Nelwan, S., van Dam, T., Meij, S., van der Putten, N.: Implementation and use of a patient data management system in the intensive care unit: A two-year experience. Computers in Cardiology 2007, 221–224 (2007)
Lipton, J., Barendse, R., Eenkhoorn, E., et al.: Glucose Control as a Model for Implementation of a Clinical Decision Support System. In: CIC Proceedings, Bolonga, vol. 35, pp. 661–664 (2008)
de Clercq, P.A., Hasman, A., Blom, J.A., Korsten, H.H.M.: Design and implementation of a framework to support the development of clinical guidelines. International Journal of Medical Informatics 64(2-3), 285–318 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Barendse, R., Lipton, J., van Ettinger, M., Nelwan, S., van der Putten, N. (2009). Implementing a Clinical Decision Support System for Glucose Control for the Intensive Cardiac Care. In: Combi, C., Shahar, Y., Abu-Hanna, A. (eds) Artificial Intelligence in Medicine. AIME 2009. Lecture Notes in Computer Science(), vol 5651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02976-9_21
Download citation
DOI: https://doi.org/10.1007/978-3-642-02976-9_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02975-2
Online ISBN: 978-3-642-02976-9
eBook Packages: Computer ScienceComputer Science (R0)