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Revista Cubana de Ciencias Informáticas

versión On-line ISSN 2227-1899

Resumen

ORELLANA GARCIA, Arturo. Critical review of process mining, targeting hospital process flows.. Rev cuba cienc informat [online]. 2018, vol.12, n.2, pp.104-125. ISSN 2227-1899.

Process mining is responsible for generating knowledge and discovering processes based on the extracted records of events found in information systems, for diagnosing, evaluating and improving their performance and behavior. This paper focuses on carrying out a review of the published research on this alternative for the analysis of business processes, targeting the hospital sector, an area that has been little explored by the researchers of the discipline. Several scientific methods were applied such as documentary, historical-logical analysis and analysis-synthesis. The search for information was focused on three general databases: "Web of Science", "PubMed" and "Google Scholar". 32 relevant researches were identified, in the case of "PubMed" 17 were found, and in "Google Scholar" more than 60. 59 cases of study were also consulted in the repository of the University of Eindhoven in the Netherlands. The collection of elements shown in this research constitutes a starting point for future research and development projects of process mining applied to the hospital environment. It is a contribution to the analysis of case studies that can be applied in real application environments on Hospital Information Systems.

Palabras clave : process analysis; process mining; health sector; literature review.

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