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Quality of life and financial inclusion in Bogota: A predictive analysis through machine learning

By
Herlyn Alejandro Moreno Parada ,
Herlyn Alejandro Moreno Parada

Capital Holding LLP. Costa Rica.

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Carolina Henao-Rodríguez ,
Carolina Henao-Rodríguez

Fundación Universitaria Konrad Lorenz. Colombia

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Abstract

Introduction: medical education is constantly evolving to respond to the demands of the clinical and social context, and it is of vital importance to design and implement training programs according to the needs of each educational institution for training and improvement of educational services.
Objective: to evaluate the satisfaction of the course carried out by the UPCH simulation center using the Kirkpatrick model.
Methods: a survey was used at the end of the course and another one after 1 month. All responses were recorded using a Google Forms format.
Results: in the General Satisfaction section, 66 % of the participants responded, "Very satisfied". In the General Evaluation section, regarding the organization of the course, the most voted answer was "very well" with 52 %. Regarding the pre-course bibliography, 54 % of the participants thought it was "Very good". Finally, regarding the facilities where the course was held, 62 % of the respondents indicated that it was "Excellent", 36 % of the participants mentioned the ECOE Module as the part of the course they found most useful.
Conclusion: it is recommended to periodically include the clinical simulation teaching methodology course as a requirement for simulation trainer training as well as to continue to implement surveys in order to make changes and improvements through participant feedback.

How to Cite

1.
Moreno Parada HA, Henao-Rodríguez C. Quality of life and financial inclusion in Bogota: A predictive analysis through machine learning. Salud, Ciencia y Tecnología - Serie de Conferencias [Internet]. 2023 Oct. 4 [cited 2024 Jun. 29];2:430. Available from: https://conferencias.saludcyt.ar/index.php/sctconf/article/view/430

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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