Proposal of an open-source Cloud computing system for exchanging medical images of a Hospital Information System

Kanagaraj, G.; Sumathi, A.

doi:10.1109/tisc.2011.6169102

Cited by 43 publications

(25 citation statements)

References 2 publications

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“…Also, the analysis of medical data can be an important way to improve quality and efficiency in healthcare [8,9]. The work presented in [10,11] focuses on the development of a cloud-based solution aimed at only the storage and sharing of medical data. In other words, they propose solutions based on cloud infrastructures to facilitate medical image data exchange between hospitals, imaging centers, and physicians.…”

Section: Related Workmentioning

confidence: 99%

Remote Collaboration, Decision Support, and On-Demand Medical Image Analysis for Acute Stroke Care

Barros

Borst

Kleynenberg³

et al. 2015

Service Oriented and Cloud Computing

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Section: Related Workmentioning

confidence: 99%

Remote Collaboration, Decision Support, and On-Demand Medical Image Analysis for Acute Stroke Care

Barros

Borst

Kleynenberg³

et al. 2015

Service Oriented and Cloud Computing

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“…Communication is provided over a packet based communication network. Kanagaraj, G.Sumathi, A.C. (2011) [32] in "Proposal of an open-source Cloud computing system for exchanging medical images of a Hospital Information System" proposed clinical information system through the cloud can provide the essential details to the health care and the patient can seek the treatment in different hospital, reduce computational resource maintenance in the hospital also existing medical equipment's can be reconstructed to be more efficient and low-cost. J. Vidhyalakshmi, J. Prassanna (2012) [35] proposed "Providing a trustable healthcare cloud using an enhanced accountability framework" explored that Security and accountability of patient's personal health record maintenance it handle the Privacy protection problem.…”

Section: Literature Surveymentioning

confidence: 99%

Sequence Flow Modelling for Efficient Protection of Personal Health Records (PHRs) in Cloud

Prabhakaran¹,

S.Charanyaa²

2015

IJIRCCE

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This paper proposes various sequence flow models efficiently guard Electronic Health Records (EHRs). Privacy-An important factor need to be considered while we publishing the microdata. Usually government agencies and other organization used to publish the microdata. On releasing the microdata, the sensitive information of the individuals are being disclosed. This constitutes a major problem in the government and organizational sector for releasing the microdata. In order to sector or to prevent the sensitive information, we are going to implement certain algorithms and methods. Normally there two types of information disclosures they are: Identity disclosure and Attribute disclosure. Identity disclosure occurs when an individual's linked to a particular record in the released Attribute disclosure occurs when new information about some individuals are revealed. This paper aims to discuss the existing techniques present in literature for preserving, incremental development, sequence flow model of the system proposed.

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“…The work in [3] introduces the use of cloud computing to implement a Picture Archiving and Communication System (PACS). PACS provides the mechanism for data communication, transmission, storage, and connection to existing hospital information systems or radiology information systems (RIS).…”

Section: Related Workmentioning

confidence: 99%

“…In this way, these works took advantages of semantic web to process data by different devices in autonomous way, enhance data representation and information search and retrieval in MISs. Semantic Web services are Web services in which semantic Web ontologies ascribe meanings to published service descriptions so that software systems, representing prospective service clients, can interpret and invoke them [3]. [14] defines Semantic Web Services (SWS) as an approach that tries to combine Web Services with Semantic Web concepts.…”

Section: A Merging Soa and Ontology In Medical Information Systemsmentioning

confidence: 99%

Interoperability of healthcare information systems

Hammami¹,

Bellâaj²,

Kacem³

2014

The 2014 International Symposium on Networks, Computers and Communications

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Medical information systems are in perpetual evolution which makes them different from each other in each hospital. These different systems compose a heterogeneous, distributed system with high complexity. Thus interoperability of medical information systems is one of the main challenges of the IT society. Semantic interoperability in healthcare is especially important when all the varying types of data need to interact.A lot of works tried to solve even partially this problem of interoperability. This paper highlights the most relevant of them and presents a comparative study between new technologies and research trends to resolve heterogeneity issues of medical information systems.

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Proposal of an open-source Cloud computing system for exchanging medical images of a Hospital Information System

Cited by 43 publications

References 2 publications

Remote Collaboration, Decision Support, and On-Demand Medical Image Analysis for Acute Stroke Care

Remote Collaboration, Decision Support, and On-Demand Medical Image Analysis for Acute Stroke Care

Sequence Flow Modelling for Efficient Protection of Personal Health Records (PHRs) in Cloud

Interoperability of healthcare information systems

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