5G Edge Computing Enabled Directional Data Collection for Medical Community Electronic Health Records
Archivos
Fecha
2021
Profesor Guía
Formato del documento
Articulo
ORCID Autor
Título de la revista
ISSN de la revista
Título del volumen
Editor
J Healthc Eng
Ubicación
https://doi.org/10.1155/2021/5598077
ISBN
ISSN
2040-2295 (Print) 2040-2295
item.page.issne
item.page.doiurl
Facultad
Departamento o Escuela
Determinador
Recolector
Especie
Nota general
Resumen
It is important to promote the development and application of hospital information system, community health service system, etc. However, it is difficult to realize the intercommunication between various information systems because it is not enough to realize the in-depth management of health information. To address these issues, we design the 5G edge computing-assisted architecture for medical community. Then, we formulate the directional data collection (DDC) problem to gather the EMR/HER data from the medical community to minimize the service error under the deadline constraint of data collection deadline. Moreover, we design the data direction prediction algorithm (DDPA) to predict the data collection direction and propose the data collection planning algorithm (DCPA) to minimize the data collecting time cost. Through the numerical simulation experiments, we demonstrate that our proposed algorithms can decrease the total time cost by 62.48% and improve the data quality by 36.47% through the designed system, respectively.