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2020, Number 4

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Correo Científico Médico 2020; 24 (4)

Integration and systematization of biomedical and mathematical contents when training a practitioner

Escalona FLA, Castro HNV, Cruz PGY
Full text How to cite this article

Language: Spanish
References: 10
Page: 1191-1205
PDF size: 288.01 Kb.


Key words:

professional problem solving, way of acting and professional integrative tasks.

ABSTRACT

Introduction: Interpretation of elementary function curves and their rates of change, become a working tool for the resolution of some professional problems in the Medicine career.
Objective: To design professional integrative tasks in order to develop the teaching-learning process, from the disciplines of Biomedical Basic Sciences.
Methods: The theoretical methods analysis and synthesis, induction and deduction and abstraction and concretion, as well as the clinical and epidemiological method, are used. Mathematical algorithms, procedures and methods, elementary function curves and their rates of change, are applied.
Results: Professional integrative tasks are prepared, in which the comparative analysis of function curves and their rates of change contributes to understand, explain and interpret the represented information, that constitutes the solution of some professional problems in the Medicine career.
Conclusions: the solution of professional integrative tasks consolidates, generalizes and substantiates the contents of Biomedical Basic Sciences and Mathematics, which constitute alternatives to make decisions and verify therapeutics in patients.


REFERENCES

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  2. Escalona Fernández LA. Construcción e interpretación de curvas de funciones elementales y la resolución de problemas de optimización para solucionar problemas profesionales médicos [Tesis]. [Holguín]: Universidad de Holguín;2019. 216 p. Disponible en: https://repositorio.uho.edu.cu/jspui/bitstream/uho/5932/1/tes.pdf

  3. Calero Hechavarría M, Rodríguez Corona O, Armas Pupo Y, Núñez Rojas Y. Propuesta de tareas docentes para fortalecer el proceso de enseñanza-aprendizaje de la Metodología de la Investigación. CCM. 2013 [citado 16/02/2018];17(1)Supl1.Disponible en: http://www.revcocmed.sld.cu/index.php/cocmed/article/view/1265/306

  4. Hall JE. Guyton y Hlla. Tratado de Fisiología Médica.13a ed.España: Elsevier;2016

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  6. Stewart I. Las 17 ecuaciones matemáticas que cambiaron al mundo. España: Crítica; 2014.

  7. Poblete V. Matemática en Salud. Chile: Universidad de Santiago de Chile; 2016.

  8. Zimmermann W, Cunningham S. Visualization in Teaching and Learning Mathematics. Washington, DC: Mathematical Association of America;1991

  9. Olmedo Canchola HV, Ariza Andraca R. Matemáticas en medicina: una necesidad de capacitación. Med Int Méx. 2012 [citado 22/02/2019];28(3)278-281. Disponible en: http://www.medigraphic.com/pdfs/medintmex/mim-2012/mim123l.pdf

  10. Lipkus I, Peters E. Understanding the role of numeracy in health: proposed theoretical framework and practical insights. Health Educ Behav. 2009[citado 22/02/2019];36(6):1065-1081. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2783983/




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