Seamless Electronic Medical Record for Health Management System in Emergency Patients

Intawong, Kannikar; Ong-Artborirak, Parichat; Boonchieng, Waraporn

doi:10.1109/ectidamtncon51128.2021.9425689

Cited by 10 publications

(2 citation statements)

References 7 publications

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“…EMRs enable doctors to track data with time, identify patient visits, observe patients, and improve overall healthcare quality. Some patients need continuous or emergency care after discharge, for which Intawong et al [112] designed a seamless EMR for healthcare management that exchanges data to community hospitals and is reliable and effective for patients requiring urgent care. Vardhini et al [91] proposed a blockchain and smart contract-based framework to resolve the problem of EMRs, i.e., misuse of data and security, which has been solved by providing data privacy, interportability, and accessibility.…”

Section: Mhealthmentioning

confidence: 99%

A Taxonomy on Smart Healthcare Technologies: Security Framework, Case Study, and Future Directions

et al. 2022

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There is a massive transformation in the traditional healthcare system from the specialist-centric approach to the patient-centric approach by adopting modern and intelligent healthcare solutions to build a smart healthcare system. It permits patients to directly share their medical data with the specialist for remote diagnosis without any human intervention. Furthermore, the remote monitoring of patients utilizing wearable sensors, Internet of Things (IoT) technologies, and artificial intelligence (AI) has made the treatment readily accessible and affordable. However, the advancement also brings several security and privacy concerns that poorly maneuvered the effective performance of the smart healthcare system. An attacker can exploit the IoT infrastructure, perform an adversarial attack on AI models, and proliferate resource starvation attacks in smart healthcare system. To overcome the aforementioned issues, in this survey, we extensively reviewed and created a comprehensive taxonomy of various smart healthcare technologies such as wearable devices, digital healthcare, and body area networks (BANs), along with their security aspects and solutions for the smart healthcare system. Moreover, we propose an AI-based architecture with the 6G network interface to secure the data exchange between patients and medical practitioners. We have examined our proposed architecture with the case study based on the COVID-19 pandemic by adopting unmanned aerial vehicles (UAVs) for data exchange. The performance of the proposed architecture is evaluated using various machine learning (ML) classification algorithms such as random forest (RF), naive Bayes (NB), logistic regression (LR), linear discriminant analysis (LDA), and perceptron. The RF classification algorithm outperforms the conventional algorithms in terms of accuracy, i.e., 98%. Finally, we present open issues and research challenges associated with smart healthcare technologies.

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Section: Mhealthmentioning

confidence: 99%

A Taxonomy on Smart Healthcare Technologies: Security Framework, Case Study, and Future Directions

et al. 2022

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“…In Japan, the frequency of marathons and other road events has grown significantly [27], as has the incidence of abrupt cardiac arrests occurring during these events [28], [50]. For marathoners who experience cardiac arrest during road events, the authors created a rapid mobile automated external defibrillator (AED) system to give early cardiopulmonary resuscitation (CPR) and AED assistance [29,30].…”

Section: Emergency Runner Systemsmentioning

confidence: 99%

Development of a Mobile-Healthcare Application for Safety and Prevention in Emergency Assistance at Marathon Events: A Case Study in CMU Marathon

Sirasakamol¹,

Ariya²,

Nadee³

et al. 2022

Int. J. Onl. Eng.

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The majority of marathon deaths are caused by sudden cardia arrest which occurs in approximately 1 in 100,000 runners around the world. In such cases, sudden resuscitation of first aid, including an early use of automated external defibrillator (AED) on runners by medical staff is immediately necessary. However, in some cases patient information of the runner is required to support the clinical decision-making of the medical staff, including the admission to hospital with certain symptoms. To make marathon events safer, we developed a mobile-healthcare emergency assistance application for safety and prevention in marathon events. Our project covers three phases: registration, data analytics and running phases. In the registration phase, we designed and developed a form containing the runner’s electronic personal health record filled in during the registration of the runner at the event. For the analytics and running phases, we analyze the data from the registration phase in order to prepare the capacity of resource and medical staff necessary to prevent and treat injuries and accidents including a sufficient number of AED devices. Finally, for the running phase, we developed a mobile application Medic and Track based on the qr code scanning in BIB for patient information that allows to locate the runner's emergency aid point and bring the patient to that rescue point or hospital. We also tested the application on a large number of runners participating in the CMU marathon 2020 with 9721 runners. The results of this study suggest that the purpose of our application can be generally accepted for the medical staff, and it also proved to be a suitable technology to prevent serious accidents in future marathon events.

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Comprehensive Blockchain, AI-Based Web Framework for Digital Health Record Management System

Dangat,

Gunjal,

Chaudhary

et al. 2024

Lecture Notes in Networks and Systems

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Seamless Electronic Medical Record for Health Management System in Emergency Patients

Cited by 10 publications

References 7 publications

A Taxonomy on Smart Healthcare Technologies: Security Framework, Case Study, and Future Directions

A Taxonomy on Smart Healthcare Technologies: Security Framework, Case Study, and Future Directions

Development of a Mobile-Healthcare Application for Safety and Prevention in Emergency Assistance at Marathon Events: A Case Study in CMU Marathon

Comprehensive Blockchain, AI-Based Web Framework for Digital Health Record Management System

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