TY - GEN
T1 - Mobile Technology Model to Ambulatory Healthcare Information online Using Cloud Platform
AU - Candela-Mendoza, Erick
AU - Cruz-Ipanaque, Lilian
AU - Armas-Aguirre, Jimmy
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/6
Y1 - 2018/11/6
N2 - In this paper, we proposed a mobile technology model to ambulatory healthcare information online using cloud platform. This proposal has health indicators and geolocation services that could reduce the time of ambulatory healthcare. Our proposed model also emphasizes the application of real-time data analysis for the healthcare organization. In this process, we also assessed the current technologies and information systems that are used for the healthcare of a patient before a medical consulting. The model consists of four phases: 1. The selection of structured data; 2. The integration and storage of data in a cloud database; 3. Real-time data test using a data analysis service; 4. The results of the pharmacological consulting are shown through a mobile application and the geolocation service can determine the nearest drugstores close to the current patient location. The mobile technology model was validated and tested in a health center in Lima, Peru, to reduce the healthcare timing by benefiting with so that patients can use it, benefiting from the immediate online response to a medical consulting.
AB - In this paper, we proposed a mobile technology model to ambulatory healthcare information online using cloud platform. This proposal has health indicators and geolocation services that could reduce the time of ambulatory healthcare. Our proposed model also emphasizes the application of real-time data analysis for the healthcare organization. In this process, we also assessed the current technologies and information systems that are used for the healthcare of a patient before a medical consulting. The model consists of four phases: 1. The selection of structured data; 2. The integration and storage of data in a cloud database; 3. Real-time data test using a data analysis service; 4. The results of the pharmacological consulting are shown through a mobile application and the geolocation service can determine the nearest drugstores close to the current patient location. The mobile technology model was validated and tested in a health center in Lima, Peru, to reduce the healthcare timing by benefiting with so that patients can use it, benefiting from the immediate online response to a medical consulting.
KW - ambulatory service
KW - Cloud platform
KW - data analysis
KW - healthcare
KW - mobile health application
KW - pharmacology
KW - technology model
UR - https://www.scopus.com/pages/publications/85058046505
U2 - 10.1109/INTERCON.2018.8526466
DO - 10.1109/INTERCON.2018.8526466
M3 - Contribución a la conferencia
AN - SCOPUS:85058046505
T3 - Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
BT - Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018
Y2 - 8 August 2018 through 10 August 2018
ER -