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Mobile Technology Model to Ambulatory Healthcare Information online Using Cloud Platform

Authors: Erick Candela-Mendoza; Lilian Cruz-Ipanaque; Jimmy Armas-Aguirre;

Mobile Technology Model to Ambulatory Healthcare Information online Using Cloud Platform

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.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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