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RASUS: Rapid Assistance System through Uber-inspired Software for localization on-line of nurses and doctors

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dc.contributor.author Nieto Chaupis, Huber
dc.coverage.temporal 7 May 2017 through 10 May 2017
dc.date.accessioned 2019-08-26T02:53:49Z
dc.date.available 2019-08-26T02:53:49Z
dc.date.issued 2017-05
dc.identifier.citation Nieto Chaupis, H. (Mayo, 2017). RASUS: Rapid Assistance System through Uber-inspired Software for localization on-line of nurses and doctors. En International Symposium on Medical Measurements and Applications (MeMeA), USA. en_PE
dc.identifier.uri http://repositorio.uch.edu.pe/handle/uch/378
dc.identifier.uri https://ieeexplore.ieee.org/document/7985876
dc.identifier.uri http://dx.doi.org/10.1109/MeMeA.2017.7985876
dc.description.abstract We present RASUS: Rapid Assistance System through Uber-inspired Software aimed to provide information in real time about the geolocation of healthcare practitioners and patients. RASUS is designed to be used in the cases where rapid assistance and intervention is required. Once the patient has located the closest doctors (or nurses), the subsequent step is the decision of the patient to make a call to one of them. The usage of this software might be advantageous in those patients whose localizations are far from hospitals (or health centers) but pretty close to doctors or nurses which might be available to provide services in cases of emergency. The efficiency of RASUS is evaluated in the cases where type-2 diabetic patients are under imminent risk of being assaulted by unexpected diabetic coma. We have simulated random geolocation for both patients and healthcare practitioners in a Peri-urban area of Lima city in order to predict the advantages and disadvantages of software. From a Monte Carlo simulation, a 78% of diabetes patients (of a simulated sample) using RASUS might surpass the diabetic coma with a deviation of order of ±10%. en
dc.description.sponsorship IEEE;IEEE Instrumentation and Measurement Society
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_PE
dc.relation info:eu-repo/semantics/article en_PE
dc.relation.isPartOf IEEE International Symposium on Medical Measurements and Applications, MeMeA 2017
dc.rights info:eu-repo/semantics/embargoedAccess en_PE
dc.source Repositorio Institucional - UCH en_PE
dc.source Universidad de Ciencias y Humanidades en_PE
dc.subject Rapid Assistance System en
dc.subject Hospitals en
dc.title RASUS: Rapid Assistance System through Uber-inspired Software for localization on-line of nurses and doctors en_PE
dc.type info:eu-repo/semantics/conferenceObject en_PE
dc.identifier.doi 10.1109/MeMeA.2017.7985876 en_PE
dc.identifier.journal IEEE International Symposium on Medical Measurements and Applications, MeMeA en_PE
dc.identifier.scopus 2-s2.0-85027874391


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