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Revista Cubana de Informática Médica

versión On-line ISSN 1684-1859

Resumen

ARANGO ASTORGA, Pedro; CABRERA NICOLAU, Leonardo  y  HURTADO DE MENDOZA AMAT, José. Knowledge Management Computer System for Departments of Pathological Anatomy. RCIM [online]. 2019, vol.11, n.2, pp.48-64.  Epub 01-Dic-2019. ISSN 1684-1859.

Cuba has one of the highest autopsy rates in the world, however, the information generated during this process is not used to the maximum, due to the accelerated growth of the data. The analysis of the results of the autopsy generates multiple benefits mainly aimed at improving the quality of medical diagnosis. In this context, the greatest challenge is obtaining the knowledge implicit in the data; feasible with the incorporation of the new Information and Communications Technologies. This work presents the SIRCAP computer system, which was developed with the aim of managing the knowledge generated in the departments of Pathological Anatomy belonging to the Cuban hospital network. The system obtained guarantees with its generalization, the study of a greater number of cases in support of decision making. At the same time, it promotes the coding of diagnoses according to the most recent terminology standards promoted by the World Health Organization. The developed solution facilitates the process of quality assessment in medical care, based on the analysis and classification of the clinic-pathological correlation. It allows the configuration and application of internal control rules over the diagnostics contributing to raise the quality of the stored data. It allows the creation of a wide set of statistical reports on data, which can be used as support for decision making, in addition to contributing to the discovery and explanation of new diseases, unusual manifestations of known diseases and therapeutic complications.

Palabras clave : autopsy; decision making; knowledge management; pathological anatomy.

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