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http://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/5282Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Cuevas Espid, Adilson. | - |
| dc.date.accessioned | 2022-12-12T19:20:26Z | - |
| dc.date.available | 2020-09-19 | - |
| dc.date.available | 2022-12-12T19:20:26Z | - |
| dc.date.issued | 2020 | - |
| dc.identifier.citation | Cuevas Espid, A. (2020). Software libre aplicado a la telemedicina para actualización de información médica en una plataforma de almacenamiento de datos en línea [Trabajo de Grado Pregrado, Universidad de Pamplona]. Repositorio Hulago Universidad de Pamplona. http://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/5282 | es_CO |
| dc.identifier.uri | http://repositoriodspace.unipamplona.edu.co/jspui/handle/20.500.12744/5282 | - |
| dc.description | Los rápidos avances de la medicina y sus tecnologías generan gran cantidad de información necesaria que requiere ser almacenada y procesada, en conjunto con acceso interactivo de estos datos para facilitarle al personal médico poder hacer una valoración acertada a sus pacientes. Por consiguiente, se ha desarrollado una plataforma virtual en donde se lleve de forma interactiva el historial clínico de los pacientes de cada profesional de la salud en conjunto con una actualización y es que dicho sistema puede cargar señales unidimensionales e imágenes de mediana y baja resolución, almacenando esta información en una base de datos de tipo noSQL. En donde se establece una conexión bidireccional conocida como cliente-servidor en tiempo real mediante los Frameworks de NODE.js, en el cual se establece un servidor web que controla todas las peticiones que se realicen desde el Frontend al Backend y viceversa con un enlace a la base de datos. En vista del sistema presentado ejercerá una visualización interactiva de la información con el fin de facilitar y mejorar la atención sanitaria del personal médico con el paciente, obteniendo como resultado la implementación de un software que presente toda la información que se ha generado y que es necesaria a la hora de tratar un caso clínico. | es_CO |
| dc.description.abstract | The rapid advances of medicine in technology generate a great variety of important information that must be stored and processed, it is necessary to obtain an interactive access of such information so that the medical personnel can establish their diagnosis of the patient's clinical case. Therefore, a virtual platform has been developed where the clinical history of the patients of each doctor is interactively taken together with an update. This system can load mono-dimensional signals and medium and low-resolution images, storing this information in a database of type noSQL. with a bi-directional connection between client and server is established in real time using the NODE.js Frameworks, in which a web server is established that controls all the requests made from the frontend to the backend and vice versa with a link to the database. In sight of the presented system it will exercise an interactive visualization of the information in order to facilitate and improve the health care of the medical staff with the patient, obtaining as a result the implementation of a software that presents all the information that has been generated and that is necessary at the time of treating a clinical case. | es_CO |
| dc.format.extent | 17 | es_CO |
| dc.format.mimetype | application/pdf | es_CO |
| dc.language.iso | es | es_CO |
| dc.publisher | Universidad de Pamplona- Facultad de Ingenierías y Arquitectura. | es_CO |
| dc.subject | Telemedicina. | es_CO |
| dc.subject | Plataforma. | es_CO |
| dc.subject | Base de datos. | es_CO |
| dc.subject | Diagnóstico. | es_CO |
| dc.title | Software libre aplicado a la telemedicina para actualización de información médica en una plataforma de almacenamiento de datos en línea. | es_CO |
| dc.type | http://purl.org/coar/resource_type/c_7a1f | es_CO |
| dc.date.accepted | 2020-06-19 | - |
| dc.relation.references | Q. Zhang, “Medical data visual synchronization and information interaction using Internet-based graphics rendering and message-oriented streaming,” Informatics Med. Unlocked, vol. 17, no. August, p. 100253, 2019. | es_CO |
| dc.relation.references | C. T. Li, D. H. Shih, and C. C. Wang, “Cloud-assisted mutual authentication and privacy preservation protocol for telecare medical information systems,” Comput. Methods Programs Biomed., vol. 157, pp. 191–203, 2018. | es_CO |
| dc.relation.references | C. Y. Wu, U. Iqbal, and Y. C. (Jack) Li, “Communication and diagnosis: Cornerstones for achieving precision medicine,” Comput. Methods Programs Biomed., vol. 157, p. A1, 2018. | es_CO |
| dc.relation.references | L. Qiao et al., “Medical high-resolution image sharing and electronic whiteboard system: A pure-web-based system for accessing and discussing lossless original images in telemedicine,” Comput. Methods Programs Biomed., vol. 121, no. 2, pp. 77–91, 2015. | es_CO |
| dc.relation.references | J. Wang, M. Qiu, and B. Guo, “Enabling real-time information service on telehealth system over cloud-based big data platform,” J. Syst. Archit., vol. 72, pp. 69–79, 2017. | es_CO |
| dc.relation.references | M. M. Hassan, K. Lin, X. Yue, and J. Wan, “A multimedia healthcare data sharing approach through cloud-based body area network,” Futur. Gener. Comput. Syst., vol. 66, pp. 48–58, 2017. | es_CO |
| dc.relation.references | A. H. Mohsin et al., “Blockchain authentication of network applications: Taxonomy, classification, capabilities, open challenges, motivations, recommendations and future directions,” Comput. Stand. Interfaces, vol. 64, no. October 2018, pp. 41–60, 2019. | es_CO |
| dc.relation.references | M. Chen and V. C. M. Leung, “Reprint of: From cloud-based communications to cognition-based communications: A computing perspective,” Comput. Commun., vol. 131, no. July, pp. 77–82, 2018. | es_CO |
| dc.relation.references | A. Farouk, A. Alahmadi, S. Ghose, and A. Mashatan, “Blockchain platform for industrial healthcare: Vision and future opportunities,” Comput. Commun., vol. 154, no. December 2019, pp. 223–235, 2020. | es_CO |
| dc.relation.references | M. Sharma and R. Sehrawat, “A hybrid multi-criteria decision-making method for cloud adoption: Evidence from the healthcare sector,” Technol. Soc., vol. 61, no. April, 2020. | es_CO |
| dc.relation.references | Y. Karaca, M. Moonis, Y. D. Zhang, and C. Gezgez, “Mobile cloud computing based stroke healthcare system,” Int. J. Inf. Manage., vol. 45, no. September 2018, pp. 250– 261, 2019. | es_CO |
| dc.relation.references | W. Lin, W. Dou, Z. Zhou, and C. Liu, “A cloud-based framework for Home-diagnosis service over big medical data,” J. Syst. Softw., vol. 102, pp. 192–206, 2015. | es_CO |
| dc.relation.references | “expressjs · GitHub.” [Online]. Available: https://github.com/expressjs. [Accessed: 15- May-2020]. | es_CO |
| dc.rights.accessrights | http://purl.org/coar/access_right/c_abf2 | es_CO |
| dc.type.coarversion | http://purl.org/coar/resource_type/c_2df8fbb1 | es_CO |
| Appears in Collections: | Ingeniería Electrónica | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Cuevas_2020_TG.pdf | Cuevas_2020_TG | 909,86 kB | Adobe PDF | View/Open |
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