Hybrid Cloud Service Based Healthcare Solutions

Lee, Young Sil; Bruce, Ndibanje; Thiranant, Non; Alasaarela, Esko; Lee, Hoon Jae

doi:10.1109/waina.2015.42

Cited by 7 publications

(3 citation statements)

References 10 publications

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“…Reference [10] proposed a hybrid healthcare solution, where a patient's profiles and health data are stored in a server in the hospital by the patient's mobile or home computer. Physicians examine these data through a hybrid cloud-based system, and decide if the patient needs to be admitted or not.…”

Section: Related Work 21 Healthcare Systems With Cloud Computing Appr...mentioning

confidence: 99%

Hybrid Mobile Cloud Computing Architecture with Load Balancing for Healthcare Systems

Lee¹,

Mhatre²,

Das³

et al. 2023

Computers, Materials &Amp; Continua

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Healthcare is a fundamental part of every individual's life. The healthcare industry is developing very rapidly with the help of advanced technologies. Many researchers are trying to build cloud-based healthcare applications that can be accessed by healthcare professionals from their premises, as well as by patients from their mobile devices through communication interfaces. These systems promote reliable and remote interactions between patients and healthcare professionals. However, there are several limitations to these innovative cloud computing-based systems, namely network availability, latency, battery life and resource availability. We propose a hybrid mobile cloud computing (HMCC) architecture to address these challenges. Furthermore, we also evaluate the performance of heuristic and dynamic machine learning based task scheduling and load balancing algorithms on our proposed architecture. We compare them, to identify the strengths and weaknesses of each algorithm; and provide their comparative results, to show latency and energy consumption performance. Challenging issues for cloudbased healthcare systems are discussed in detail.

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Section: Related Work 21 Healthcare Systems With Cloud Computing Appr...mentioning

confidence: 99%

Hybrid Mobile Cloud Computing Architecture with Load Balancing for Healthcare Systems

Lee¹,

Mhatre²,

Das³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…A number of ideas have been proposed with the aim of providing high-level privacy for medical data, as well as ensuring the high-level protection of these data, such as using a private cloud (He et al, 2013) to provide a standard high level of protection. Others have used a hybrid cloud type (Lee et al, 2015), where data are stored in a public or private cloud depending on how sensitive the data are. In other words, the more sensitive the data, the more likely it is they will be processed and stored in a private cloud.…”

Section: Privacymentioning

confidence: 99%

Swift personal emergency help facilitated by the mobile cloud

Alshareef

Grigoraş

2018

IJHPCN

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Many emergency cases require the swiftest possible response from an appropriate medical service if they are not to become life-threatening. In the medical emergency field, response times to emergency cases are a major concern and gain a high degree of attention. Many of the systems proposed in the literature are either intended to replace the existing emergency system with a fully automated one, or build on unreliable or less efficient frameworks that are based on some sort of social media application, such as redirecting emergency requests to Facebook friends. We have designed a mobile cloud service that works side by side with the existing emergency system and is aimed at reducing the time spent waiting for emergency help to arrive, as well as making the best use of medical professionals who may be located in close proximity to the medical case. The experimental results show that the amount of time needed to find a medical professional and establish communication was between 4 and 25 seconds, depending on the communication method used. This result means that no extra time is added to the total medical response time and could enhance the chance of a better outcome. in 1994. He founded the International Symposium on Parallel and Distributed Computing (15th edition in 2016), and organised many workshops and summer schools. He published one book, co-edited four and published more than 80 papers in journals and proceedings of conferences. His current research interests are the mobile cloud, mobile middleware and applications, IoT and smart cities. This paper is a revised and expanded version of a paper entitled 'First responder help facilitated by the mobile cloud' presented at

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“…Lee의 연구에서는 하이브리드 클라우드 기반 헬스케 어 시스템 개발을 위한 헬스케어 서비스 솔루션을 제안 하였다 [4]. 이 연구에서는 High Level 수준의 시스템 기 능성과 Secure한 의료 센서를 사용하여 환자의 센서 데이 터를 보호하는 방식을 제안한다.…”

Section: 관련 연구unclassified

A Cloud Service for Archiving and Interpreting Medical Images

Kim¹,

Park²,

Jung³

et al. 2016

Journal of Internet Computing and Services

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Medical images are an effective means to identity medical abnormalities.. Patients typically have medical images taken at different clinics during lifetime, and they often wish to have second interpretation on medical images showing substantial diseases. At present, since personal medical images are distributed to multiple clinics, there is a bit discomfort that patients directly bring their images by hands to get the second interpretation from another physician. With these two motivations, we design a cloud service for archiving medical images and interpreting medical images by physicians. We present the design and implementation of the service, and show its practical value as low-cost personal healthcare service. By using the service, patients can retrieve and review their medical images anytime and have a convenience of acquiring second opinions on their medical images at low-cost without visiting a clinic.

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Hybrid Cloud Service Based Healthcare Solutions

Cited by 7 publications

References 10 publications

Hybrid Mobile Cloud Computing Architecture with Load Balancing for Healthcare Systems

Hybrid Mobile Cloud Computing Architecture with Load Balancing for Healthcare Systems

Swift personal emergency help facilitated by the mobile cloud

A Cloud Service for Archiving and Interpreting Medical Images

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