Erick Candela-Mendoza, Lilian Cruz-Ipanaque, Jimmy Armas-Aguirre
{"title":"Mobile Technology Model to Ambulatory Healthcare Information online Using Cloud Platform","authors":"Erick Candela-Mendoza, Lilian Cruz-Ipanaque, Jimmy Armas-Aguirre","doi":"10.1109/INTERCON.2018.8526466","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":305576,"journal":{"name":"2018 IEEE XXV International Conference on Electronics, Electrical Engineering and Computing (INTERCON)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE XXV International Conference on Electronics, Electrical Engineering and Computing (INTERCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INTERCON.2018.8526466","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
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.