ABSTRACT
Objetivo: Automatizar el trabajo con las tablas de decisiones para la calificación de exámenes parciales y finales (según la Instrucción 3/2015 establecida por el Vice Ministerio de Salud Pública) de las carreras de Ciencias Médicas y la Instrucción 1/2009 del Ministerio de Educación Superior sobre los errores ortográficos en todas las carreras universitarias del país. Métodos: Se realizó un análisis inicial de las características que presentan las evaluaciones integrales que otorga la Metodología para los exámenes de 3, 5 y 7 preguntas respectivamente, se crearon los archivos de datos mediante el paquete profesional estadístico PSPP de libre distribución y se programó el algoritmo que da respuesta al problema utilizando las facilidades que brinda su lenguaje de programación. Resultados: El algoritmo fue validado con el examen final de 1er. año de la carrera de medicina en la Facultad Salvador Allende durante el primer semestre del curso 2018-2019 en la asignatura Célula, Tejido y Sistema Tegumentario y en el segundo semestre con los trabajos de control parciales y los exámenes extraordinarios de la asignatura Bioestadística. Conclusiones: La automatización propuesta puede ser utilizada por los profesores de cualquier asignatura de las facultades de Ciencias Médicas del país. Garantiza otorgar a cada estudiante su evaluación correcta, impidiendo los errores manuales que se cometen debido a la complejidad de las múltiples combinaciones posibles establecidas(AU)
Objective: To automate the work with decision tables for grading mid-term and final exams in the medical sciences profiles according to the enacted instruction 3/2015 of the Vice Ministry of Cuban Public Health and the instruction 1/209 of the Ministry of Superior Education dealing with spelling mistakes in the university studies. Methods: An initial analysis was done taking into account the characteristics of the comprehensive assessments according to the methodology for questions 3, 5 and 7 respectively. Data files were created through the free professional statistic software (PSPP), developing an algorithm to answer the problem, and taking into consideration the facilities of its programming language. Results: The algorithm was successfully tested in the 1st semester of the course 2018-219 at Dr. Salvador Allende Medical Faculty during the exam of the subject matter Cell, Tissue and Tegument and during the second semester in the midterm and final exams of Biostatistics. Conclusions: This proposal could be used by all professors, no matter the subject, of the different faculties of medicine along the country. It guarantees a fair and correct evaluation to each student without manual errors due to the complexity of the multiple possible combinations(AU)
Subject(s)
Male , Female , Medical Informatics , Medical Informatics Applications , Programming Languages , Education, Medical , Educational Measurement/methods , CubaABSTRACT
As an important representative of modern Chinese medicine, traditional Chinese medicine (TCM) injzection has become an indispensable part of the Chinese medicine industry. However, its development is now restricted by the bottleneck of insufficient core competitiveness, low-level research and production, even injection quality and the safe use are not guaranteed. Thus, it is urgent to reevaluate post-marketing TCM injection generally and to make secondary development. Under current circumstances, taking major brands which have good clinical and market foundation, as well as research value, as the main subject of cultivation and evaluation is an important approach to innovative development of TCM injection industry. Unlike oral proprietary Chinese medicine, the cultivatation of major brands of TCM injection needs higher technical support, quality standards and more timely feedback. Therefore, a post-market integral evaluation system adaptive to TCM injection is required. This article discussed some key points on the construction of a post-market integral evaluation system of TCM injection in three levels： optimizing evaluation methods, building synergistic innovation platforms which combine the medical research institutions and pharmaceutical enterprises, and finally constructing the integral evaluation system. A "five to one" structure has been proposed to enhance TCM injection effectiveness, safety and adaptability on the whole, which are from the following aspects： mechanism research, clinical evidence validation, literature information mining, sustainable development of resources and industrialization operation.