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J. health inform ; 8(supl.I): 889-898, 2016. ilus, tab, graf
Article in Portuguese | LILACS | ID: biblio-906670

ABSTRACT

Foi desenvolvido no Hospital Sírio Libanês um sistema de apoio à decisão de condutas nas linguagens de programação JAVA e Delphi. Foi implantado no sistema um protocolo para tratamento de hipoglicemia que após o diagnóstico através da glicemia capilar e inserção do dado no sistema, inicia-se um processo que finaliza em uma conduta. O objetivo deste estudo foi descrever o processo de implantação deste sistema, além de analisar os dados demográficos das hipoglicemias. É um estudo observacional, transversal, retrospectivo. Os dados foram coletados de 01/2014 a 12/2015.635 episódios de hipoglicemia foram avaliados. 87,1% das 635 hipoglicemias foram leves (50 a 60mg/dL). A unidade de internação oncológica mostrou a menor prevalência de hipoglicemias (17,8%), enquanto internações prolongadas entre16 e 30 dias mostraram maior prevalência (21,6%). As hipoglicemias também foram mais comuns em homens acima de45 anos e em mulheres entre 15 e 44 anos.


A decision support system was developed at Sírio Libanês Hospital using the programming languages JAVA and Delphi. A hypoglycemic protocol was inserted in the system to test the support to clinical decision. After a hypoglycemia diagnosis using the capillary glucose test, the data was inserted in the system and a process was generated with some steps that finished with an intervention procedure. The objective of this study was to describe the system implementationprocess and to analyze demographic characteristics of hypoglycemic episodes. This is an observational,cross-sectional, retrospective study. The data was from January 2014 to December 2015. 635 hypoglycemic episodeswere included in this analysis. 87.1% hypoglycemic episodes were mild. Oncology unit was the one with lower prevalence(17.8%), while a longer stay at the hospital (16 to 30 days) had a high prevalence (21.6%). Hypoglicemic episodes were more common in men over 45 years old and among women between 15 and 44 years old.


Subject(s)
Humans , Male , Female , Adolescent , Adult , Middle Aged , Aged , Young Adult , Medical Informatics , Decision Trees , Hypoglycemia/epidemiology , Retrospective Studies , Statistical Data , Decision Support Techniques , Congresses as Topic
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