M-Health Application for Managing a Patient's Medical Record based on the Cloud: Design and Implementation

Souiki, Sihem; Hadjila, Mourad; Moussaoui, Djillali; Ferdi, Soria; Rais, Soumia

doi:10.1109/ihsh51661.2021.9378744

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…Paper documents have been gradually replaced by the information system, and this has prompted public health policies in many industrialized countries, which tend to promote the use of applications to manage information. Currently, their use goes beyond communication and message exchanges, which aroused the interest of application in electronic medical records (32) , according to some patents and technological records found in this study (28,33) .…”

Section: Discussionmentioning

confidence: 87%

Patentes y registros de software de gestión sanitaria

Lanes,

Dalmolin,

Villagran

et al. 2024

J Health Inform

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Objetivo: Mapear as patentes e registros de programas de computador utilizados por profissionais de saúde para a gestão de serviços de saúde. Métodos: Revisão de escopo realizada na Web of Science (Derwent Innovations Index), World Intellectual Property Organization – Patent scope e Instituto Brasileiro de Propriedade Industrial, com 237 documentos selecionados. A análise dos dados ocorreu através de análise de cluster. Resultados: As patentes foram agrupadas em dois clusters: “Tecnologias de informação e comunicação de dados de saúde” e “Sistema de processamento de dados de supervisão de gestão em saúde”. Os registros de software também foram agrupados em dois clusters, ou seja, “Sistema de gerenciamento de dados de saúde” e “Tecnologia do sistema de informação para processamento e armazenamento de dados”. Conclusão: Prevaleceram documentos sobre processamento, comunicação, armazenamento e supervisão de dados, os quais abordaram sobre a capacitação da gestão dos serviços de saúde e a tomada de decisão clínica.

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Section: Discussionmentioning

confidence: 87%

Patentes y registros de software de gestión sanitaria

Lanes,

Dalmolin,

Villagran

et al. 2024

J Health Inform

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“…In recent years, with the development of technologies such as big data and cloud computing [1][2][3], more and more medical institutions choose to store patient medical data in the cloud, which improves the efficiency of storage and retrieval but also faces the problem of the centralized storage of data, which will not guarantee the integrity and security of medical data [4] once the third-party server is down or in the event of a malicious attack. As a distributed ledger, blockchain [5] provides a new decentralized model for solving the problem of data storage in medical institutions.…”

Section: Introductionmentioning

confidence: 99%

Medical Data Storage Model Based on an Alliance Chain

et al. 2022

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Aiming at the problems of centralized storage, low sharing efficiency, and the security and privacy of traditional medical data, a medical data storage model based on a consortium chain is proposed. First, the Distance algorithm is designed based on the geographical relationship of nodes, which reduces the amount of communication between nodes, improves the communication efficiency between A nodes, and ensures the efficiency and reliability of grouping. Second, the dynamic election is combined with the Distance algorithm to design the election strategy of the primary node, which realizes the scientific and reasonable ranking of the medical nodes, improves the reliability of the selection of the primary node, and ensures the efficiency of the medical nodes in the alliance chain to quickly reach consensus when the medical data are uploaded to the chain. Finally, the model designs a method of information separation, which combines the distributed database IPFS (InterPlanetary File System) with the blockchain, which greatly reduces the pressure of medical data storage in the blockchain and improves the operation efficiency. The experimental results show that the medical data storage model can effectively improve the problem of the sharp increase in the amount of communication between medical nodes in the network and reduce the impact of malicious consensus nodes.

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