Sistema de información sobre Covid-19 mediante llamadas telefónicas con la ayuda de un agente inteligente
The large number of Covid-19 infections led to the saturation of the means of care provided by the different health care centers to their patients, thus exposing the existence of shortcomings in the care process. Based on this problem, this degree work aims to answer the research question: Does the...
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| Formato: | bachelorThesis |
| Lenguaje: | spa |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | https://dspace.unl.edu.ec/jspui/handle/123456789/27839 |
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Agregar Etiqueta | Sumario: | The large number of Covid-19 infections led to the saturation of the means of care provided by the different health care centers to their patients, thus exposing the existence of shortcomings in the care process. Based on this problem, this degree work aims to answer the research question: Does the use of intelligent agents help in the process of medical care through telephone calls in a medical center, considering the saturation of health centers due to the state of health emergency by Covid-19? and aims to develop a functional prototype of an intelligent agent that simulates the management of telephone calls in a medical center, through a software module responsible for identifying and classifying patients. For this purpose, the Kendall and Kendall agile methodology was used, resulting in three main sections corresponding to the specific objectives set forth. The first section covers the first five phases of the methodology, which resulted in the identification of the problems, opportunities and objectives, the list of requirements, the analysis of the system needs, the recommended system design and the development of the software module. The second section contains the sixth phase of the methodology, where the deployment manual and the results of the unit tests were obtained. In the third section the implementation and evaluation phase of the system is executed, where the user manual, functional test results and the results of the acceptance tests were obtained. Finally, the software module developed allows the correct, efficient and reliable classification and identification of patients with Covid-19, thus improving the medical care provided to the patient. Keywords: Communication process, computer application, health, medical center, patient. |
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