Requirement Analysis and Implementation of Smart Emergency Medical Services

Park, Eunjeong; Kim, Ji Hoon; Nam, Hyo Suk; Chang, Hyuk Jae

doi:10.1109/access.2018.2861711

Cited by 29 publications

(12 citation statements)

References 17 publications

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“…Although AI for diagnosis or automatic detection in medical images have achieved promising results [48][49][50][51], the application of AI in the treatment of acute diseases should meet the requirements not only to support experts, but to also ensure the timeliness of decisions that face obstacle involving the insertion of new systems in the pipeline of treatment. However, the need for a reliable and consistent assessment during emergencies to save time have been addressed, and the corresponding applications and protocols continuously have been developed [52,53].…”

Section: Developing Ai For Personalized Medicine With Disparity and Insufficiency Of Datamentioning

confidence: 99%

Agreement and Reliability Analysis of Machine Learning Scaling and Wireless Monitoring in the Assessment of Acute Proximal Weakness by Experts and Non-Experts: A Feasibility Study

Park

Lee

Han

et al. 2022

JPM

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Assessing the symptoms of proximal weakness caused by neurological deficits requires the knowledge and experience of neurologists. Recent advances in machine learning and the Internet of Things have resulted in the development of automated systems that emulate physicians’ assessments. The application of those systems requires not only accuracy in the classification but also reliability regardless of users’ proficiency in the real environment for the clinical point-of-care and the personalized health management. This study provides an agreement and reliability analysis of using a machine learning-based scaling of Medical Research Council (MRC) proximal scores to evaluate proximal weakness by experts and non-experts. The system trains an ensemble learning model using the signals from sensors attached to the limbs of patients in a neurological intensive care unit. For the agreement analysis, we investigated the percent agreement of MRC proximal scores and Bland-Altman plots of kinematic features between the expert- and non-expert scaling. We also analyzed the intra-class correlation coefficients (ICCs) of kinematic features and Krippendorff’s alpha of the observers’ scaling for the reliability analysis. The mean percent agreement between the expert- and the non-expert scaling was 0.542 for manual scaling and 0.708 for autonomous scaling. The ICCs of kinematic features measured using sensors ranged from 0.742 to 0.850, whereas the Krippendorff’s alpha of manual scaling for the three observers was 0.275. The autonomous assessment system can be utilized by the caregivers, paramedics, or other observers during an emergency to evaluate acute stroke patients.

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Section: Developing Ai For Personalized Medicine With Disparity and Insufficiency Of Datamentioning

confidence: 99%

Agreement and Reliability Analysis of Machine Learning Scaling and Wireless Monitoring in the Assessment of Acute Proximal Weakness by Experts and Non-Experts: A Feasibility Study

Park

Lee

Han

et al. 2022

JPM

Self Cite

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“…IoT-Enabled Ambulances. Medical staff associated with ambulances are usually dealing with very high-pressure and error-prone situations [24]. During the current pandemic of COVID-19, the situations have become even more tensed and pressurized for medical staff dealing COVID-19 patients.…”

Section: 11mentioning

confidence: 99%

5G and Blockchain Enabled Lightweight Solutions for Containing COVID-19

Kamal

Aljohani

Alanazi

et al. 2022

Security and Communication Networks

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Due to the global pandemic of COVID-19, there is an urgent need to utilize existing technologies to their full potential. Internet of things (IoT) is regarded as one of the most trending technologies with a great potential in fighting against the coronavirus outbreak. In this study, we examine the current status of IoT applications related to COVID-19, identify their deployment and operational challenges, and suggest possible opportunities to further contain the pandemic. Furthermore, we perform analysis by examining the IoT implementation in which internal and external factors are discussed. We suggest by presenting results that lightweight security algorithms, blockchain-based solutions for enabling end-to-end security and privacy, and 5G for IoT devices to tackle the bandwidth issues for scalable IoT networks are few of the solutions in containing the COVID-19.

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“…fejlesztő szakemberek, anyagi erőforrások stb. ), másrészt pedig fontos az implementálhatóság szempontjából a jelenleg dolgozó szakemberek általi fogadtatás is [28]. Ahhoz, hogy valódi eredményeket érhessünk el, meg kell ismernünk a szakemberek véleményét az új technológiák befogadását illetően.…”

Section: A Bevezethetőség Másik Oldala -Az Ellátókunclassified

Smart technológiák alkalmazhatóságának lehetőségei a sürgősségi betegellátásban

Musch¹,

Bánfai-Csonka²,

Radnai³

et al. 2021

IME

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Az egészségügyi ellátásban egyre inkább teret hódítanak a smart technológián alapuló megoldások. Össze foglalónkban célunk volt bemutatni a sürgősségi ellátásban alkalmazható lehetőségeket. Prehospitálisan hasznosak lehetnek a betegút-optimalizációt elősegítő megoldások. Az ellátás bármely színterén segítségül szolgálhatnak a döntéstámogató rendszerek, valamint a dokumentációt segítő lehetőségek. További előnyökkel szolgálhatnak a színterek közötti adatáramlást, kommunikációt segítő technológiák. Az alkalmazott smart technológiák bevezetése pozitív hatással lehet a sürgősségi betegellátásra, fontos azonban az ellátók fogadtatását is vizsgálni az újítások iránt, hiszen ez is befolyásolja a bevezethetőséget.

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Requirement Analysis and Implementation of Smart Emergency Medical Services

Cited by 29 publications

References 17 publications

Agreement and Reliability Analysis of Machine Learning Scaling and Wireless Monitoring in the Assessment of Acute Proximal Weakness by Experts and Non-Experts: A Feasibility Study

Agreement and Reliability Analysis of Machine Learning Scaling and Wireless Monitoring in the Assessment of Acute Proximal Weakness by Experts and Non-Experts: A Feasibility Study

5G and Blockchain Enabled Lightweight Solutions for Containing COVID-19

Smart technológiák alkalmazhatóságának lehetőségei a sürgősségi betegellátásban

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