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• W4214513474 abstract "AbstractThe monitoring and control of epidemics is one of the most relevant topics in the field of smart health within smart cities. Smart health take advantage of a new generation of information technologies, such as big data, mobile internet, cloud computing and artificial intelligence, in order to transform the traditional medical system in a comprehensive way, making healthcare more efficient and personalized. From electronic Health records (EHR), diverse information about the epidemiological situation in institutions that provide health services can be extracted. This document describes the development of a platform to carry out the control and monitoring of vaccination process against Covid-19, which is based on cloud data storage technologies and make use of a existing platform designed for the registration of EHR emphasizing on data collection for structuring of epidemiological control strategies. The main goal is to identify and characterize patients who meet the prioritization criteria for Covid-19 vaccination according to stages defined by the Colombia Ministry of Health, execute the geocoding processes and identification of health conditions according to their previous EHR records, in order to accomplish an efficient and intelligent execution, monitoring and control of vaccination that impacts the epidemiological risk mitigation process. At the end of the document is described the use of the developed platform for the monitoring and control of the Covid-19 vaccination process in a Basic Health Services Unit called Medicips, which provides health services to approximately 90,000 people in the city of Santiago de Cali, Colombia.KeywordsSmart health servicesElectronic health records (EHRs)Covid-19Epidemic controlBigDataGeocoding" @default.
• W4214513474 created "2022-03-02" @default.
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• W4214513474 date "2022-01-01" @default.
• W4214513474 modified "2023-10-17" @default.
• W4214513474 title "A Covid-19 Vaccination Tracking and Control Platform in Santiago de Cali" @default.
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• W4214513474 doi "https://doi.org/10.1007/978-3-030-96753-6_13" @default.
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