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Health care organizations need means to process the patient flow-related data into meaningful information in order to understand and manage complex patient flow networks. In this paper we present a theoretical framework of the patient flow management process and examine how this process could be intensified with the help of data mining methodology. Based on the empirical findings in a case organization, a Finnish special care hospital, the potential of suitable data mining methods, like sequence analysis, is evident. Using the data mining methodology, huge amounts of data could be processed into relevant and reliable information to support decision-making. As a result, the overall quality and effectiveness of the patient flow network would be improved.