Abstract
Effective methods are needed to identify and analyze risks to improve patient safety. Analysing patient records and learning from “touch and go”- situations is one possible way to prevent hazardous conditions. The eventuality for the incident or accident occurring may be markedly reduced in case the risks can be efficiently diagnosed. Through this outlook, flight safety has been successfully improved during decades. Aviation and health care share many important points and similarities, thus the methods for improving safety could be transferred between the domains. In this paper, text mining and especially clustering is applied to identify lethal trends in both patient records and aviation for comparing and evaluating these trends in the two fields.
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Sjöblom, O. et al. (2012). Avoiding Hazards – What Can Health Care Learn from Aviation?. In: Eriksson-Backa, K., Luoma, A., Krook, E. (eds) Exploring the Abyss of Inequalities. WIS 2012. Communications in Computer and Information Science, vol 313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32850-3_11
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DOI: https://doi.org/10.1007/978-3-642-32850-3_11
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