Resumen

FUENTES HERRERA, Ivett E; MAGDALENO GUEVARA, Damny  y  GARCIA LORENZO, María Matilde. Intelligent decision-making from medical records stored on the CDA-HL7. RCIM [online]. 2016, vol.8, n.1, pp. 109-124. ISSN 1684-1859.

Due to the exponential increase of stored information the organizations, the information society is being overtaken by the need for new methods capable of processing information and ensuring its productive use. This is logically extended to the hospitals, from the widespread use of clinical histories in electronic format. To have systematized information, manage it efficiently and securely is essential to ensure better health practices. In addition, there is the need for standards to support the exchange among health institutions; specifically hl7 has become one of the most widely used because it provides the exchange from xml. In this paper is presented a methodology for the discovery of implicit knowledge in medical records with semi-structured format, using their content and structure. The main results are: (1) the methodology for the clustering of medical records; (2) the interpretation of the results of the clustering to assist diagnostic decision-making; (3) the implementation of the hl7 standard for handling medical records from CDA.

Palabras clave : clustering; knowledge discovering; EMR; XML; CDA.

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