Revisión de los principales modelos para aplicar técnicas de Minería de Procesos (Review of models for applying process mining techniques)

• Published in: GECONTEC 2016-01, Vol.4 (1), p.12
• Main Authors: García, Arturo Orellana, Alfonso, Damián Pérez, Sentí, Vivian Estrada
• Format: Article
• Language: Spanish
• ISSN: 2255-5684

Process mining is a novel alternative to improve processes in a variety of application domains. It aims to extract information from data stored in records of traces from information systems, looking for errors, inconsistencies, vulnerabilities and variability in processes that are executing. The process mining techniques are used in multiple sectors such as industry, web services, business intelligence and health. However, to apply these techniques there are several models and little information on which of them is better to apply, by not having a comparative analysis of these. The research focuses on collecting information on models proposed by author's worldwide reference in the process mining topic, to apply techniques for the discovery, conformance checking and process improvement. Is performed a brief analysis of them in order to select the most comprehensive for its application in health environment. Current research contributes to the development of a model for the detection and analysis of variability in hospital processes using process mining techniques. Allows to readers to have in a centrally way, criteria for deciding which model to use, or what steps to employ of one or more models.