A Security Model and its Application to a Distributed Decision Support System for Healthcare

Xiao, Liang; Vicente, Javier; Sáez, Carlos; Peet, Andrew C.; Gibb, Alex; Lewis, Paul; Dasmahapatra, Srinandan; Croitoru, Madalina; González–Vélez, Horacio; Ariet, Magí Lluch i; Dupplaw, David

doi:10.1109/ares.2008.22

Cited by 2 publications

(4 citation statements)

References 11 publications

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“…Many researchers have suggested secure exchange solutions and security architectures and models for interconnected and distributed health information systems [24][25][26][27][28]. A few researchers have also recently attempted to tailor specific security frameworks in the context of nascent nationwide health information networking initiatives, such the US initiative [7], or to suggest novel solution frameworks to meet the challenges of electronic health interconnected infrastructure [9].…”

Section: Security and Privacymentioning

confidence: 99%

A Security Framework for Nationwide Health Information Exchange based on Telehealth Strategy

et al. 2015

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This study focuses on the situation of health information exchange (HIE) in the context of a nationwide network. It aims to create a security framework that can be implemented to ensure the safe transmission of health information across the boundaries of care providers in Malaysia and other countries. First, a critique of the major elements of nationwide health information networks is presented from the perspective of security, along with such topics as the importance of HIE, issues, and main approaches. Second, a systematic evaluation is conducted on the security solutions that can be utilized in the proposed nationwide network. Finally, a secure framework for health information transmission is proposed within a central cloud-based model, which is compatible with the Malaysian telehealth strategy. The outcome of this analysis indicates that a complete security framework for a global structure of HIE is yet to be defined and implemented. Our proposed framework represents such an endeavor and suggests specific techniques to achieve this goal.

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Section: Security and Privacymentioning

confidence: 99%

A Security Framework for Nationwide Health Information Exchange based on Telehealth Strategy

et al. 2015

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“…Xiao et al [1] suggested that distributed decision support systems provides linked anonymised data scheme for patient private data protection. The yellow pages agent network in distributed decision support systems proves to be a challenging component in secure resource access control and allocation.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In contrast to above mentioned ideas, some of the researchers focused the clinical practice guidelines in coronial bypass treatment including pace maker implant [6].The clinical guidelines in case of Asthmatic children's patients has been produced by Shiffman et al [7] using pen based mobile decision support system. Almost all of the authors had used DSS in multiple scenarios but the idea of using distributed decision support system has only being used by Xio et al [1] and Gomez et al [4].…”

Section: Critical Evaluationmentioning

confidence: 99%

“…The advent of Agent based architecture in clinical practice guidelines improves the decision process by means of distributed decision making for patient private data protection [1].Agents are processes that exist on Internet and communicate with each other for analyzing the complex problems in more optimal way using Health Agents Network [1], [8].…”

Section: Introductionmentioning

confidence: 99%

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A Critical Analysis on Efficacy of Clinical Decision Support Systems in Health Care Domain

Perwez

Ahmad

Javaid

et al. 2011

AMR

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Clinical Practice guidelines strongly relies on evidence based medical literature. In Health care domain decision support systems are playing a competent role in diagnosis and treatment from multiple diseases. Among different Hospitals all over the world the Information technology domain emphasis key roles in improvement of patient health care to great extent. The Concept of Data Mining (DM) and Decision Support systems (DSS) in medical domain provides an efficient mechanism to extract the multiple records of patient treatment diagnostics from previously stored records in Data base (DB) or Data Ware House (DWH) and compare these guidelines to perform strong analysis that results in efficient decision making. Along the previously mentioned techniques the era of Telemedicine has also being developed that results in generation of multiple techniques in diagnosis of multiple diseases and health improvement using Mobile Health care systems specially worth full for the rural areas where latest medical facilities are unavailable at the point of need. The required information in Database or in Data Ware House might be the historical data of patient or the health based summery of different patients in diverse stages. Now these days the emergence of distributed decision support systems in health care domain covers the health care treatment procedures in more comprehensive manner including surgical procedures and radiological treatment. In this paper we are going to analyze the multiple health care diagnosis procedures and treatment techniques using various decision support systems designed and implemented by various researchers all over the world and compare the effectiveness and efficiency of each decision support system in health care domain. Our research study is also helpful for physicians and health care practioners in analyzing multiple scenarios related to interesting pattern recognitions and intelligent decision making.

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A Security Model and its Application to a Distributed Decision Support System for Healthcare

Abstract: Abstract

Cited by 2 publications

References 11 publications

A Security Framework for Nationwide Health Information Exchange based on Telehealth Strategy

A Security Framework for Nationwide Health Information Exchange based on Telehealth Strategy

A Critical Analysis on Efficacy of Clinical Decision Support Systems in Health Care Domain

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