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Revista Cubana de Información en Ciencias de la Salud

On-line version ISSN 2307-2113

Abstract

LORENZO PEREZ, Milene; TARAJANO ROSELLO, Antonio Obed; BEMBIBRE MOZO, Dayamí  and  SANCHEZ HERNANDEZ, Marcia María. Design and implementation of the internal information system for the Department of Imaginology of "Manuel Ascunce Domenech" Provincial Hospital in Camagüey. Rev. cuba. inf. cienc. salud [online]. 2013, vol.24, n.2, pp. 106-117. ISSN 2307-2113.

Background: in "Manuel Ascunce Domenech" Provincial Hospital in Camaguey, the Imaginology Service presents stipulated statistical information using a model of diagnostic means; nevertheless, it does not satisfy the internal needs of the department. Objective: to improve the internal statistical information of this department. Methods: a study about the technological innovation was carried out from January 2011 to November 2012. An interview to the members of the Department of Imaginology was done and 132 models providing internal data of this service were analyzed in order to identify the necessary statistical information. Subsequently, models that collect information of the services were designed through a software that implements the processing of the data that were not specified in the official model. Results: the models and their subsequent automation improved the information from a security, integrity, reliability and inclusion of the necessary data viewpoint. The software allowed to calculate possitivity rates of the cases under study and control the resources and repeated exams what contributed to the effective processing and recovery of the statistical data, thus favouring the use and the rational exploitation of the technological resources. The users expressed high levels of satisfaction with the given information. Recommendations: it is recommended to carry out an analysis of the corresponding costs to determine the feasibility of the implementation of the software from the effective point of view and generalize its installation in health units that use diagnostic means.

Keywords : statistical models; ultrasonography; information technology; automation; software.

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