Abstract
A potentially effective IT intervention to implement guidelines and evidence based practice consists of the use of computerized decision support systems (CDSS). CDSSs aim at providing meaningful feedback to professionals in order to positively influence their behavior. Intensive care medicine, with its heavy reliance on information and the advanced information infrastructure in intensive care units (ICUs), is an attractive specialty and environment for applying and investigating CDSSs. In particular, antibiotic prescription, control of the tidal volumes in the lungs, and control of glucose levels in the blood form hot topics in intensive care medicine and provide opportunities for decision support applications. However, issues pertaining to the design, implementation, critical success factors, as well as the evaluation of CDSSs are largely still open, especially in these domains. This work describes important issues learned from designing and implementing CDSSs in these domains based on our literature reviews and lessons learned from conducting various trials in our ICU.
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References
Shortliffe, E.H.: Computer programs to support clinical decision making. JAMA 258, 61–66 (1987)
Marcucci, L., Martinez, E.A., Haut, E.R., Slonim, A.D., Suarez, J.I.: Avoiding common ICU errors. Wolters Kluwer/Lippincott Williams & Williams, Philadelphia (2007)
Eslami, S., Abu-Hanna, A., de Keizer, N.F., de Jonge, E.: Errors associated with applying decision support by suggesting default doses for aminoglycosides. Drug Saf. 29, 803–809 (2006)
Eslami, S., de Keizer, N.F., Abu-Hanna, A., de Jonge, E., Schultz, M.J.: Effect of a clinical decision support system on adherence to a lower tidal volume mechanical ventilation strategy. J. Crit. Care 24, 523–529 (2009)
Eslami, S., Abu-Hanna, A., de Jonge, E., de Keizer, N.F.: Tight glycemic control and computerized decision-support systems: a systematic review. Intensive Care Med. 35, 1505–1517 (2009)
Eslami, S., de Keizer, N.F., de Jonge, E., Schultz, M.J., Abu-Hanna, A.: A systematic review on quality indicators for tight glycaemic control in critically ill patients: need for an unambiguous indicator reference subset. Crit. Care 12, R139 (2008)
Eslami, S., Taherzadeh, Z., Schultz, M.J., Abu-Hanna, A.: Glucose variability measures and their effect on mortality: a systematic review. Intensive Care Med. 37, 583–593 (2011)
Sommerville, I.: Software engineering, 8th edn. Addison Wesley, Reading (2006)
Kawamoto, K., Houlihan, C.A., Balas, E.A., Lobach, D.F.: Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ 330, 765 (2005)
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Eslami, S., de Keizer, N.F., de Jonge, E., Dongelmans, D., Schultz, M.J., Abu-Hanna, A. (2011). Lessons Learned from Implementing and Evaluating Computerized Decision Support Systems. In: Peleg, M., Lavrač, N., Combi, C. (eds) Artificial Intelligence in Medicine. AIME 2011. Lecture Notes in Computer Science(), vol 6747. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22218-4_14
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DOI: https://doi.org/10.1007/978-3-642-22218-4_14
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