Sharing health-care records over the Internet

Grimson, Jane; Stephens, G. Arbour; Jung, B.; Grimson, William; Berry, Damon; Pardon, S.

doi:10.1109/4236.935177

Cited by 67 publications

(32 citation statements)

References 12 publications

(11 reference statements)

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“…Here the expert system can be grouped together with a supporting information system to form a web knowledge-based information system and can be delivered worldwide with at least basic fundamental user requirements [4]. The need for web based decision support and expert systems is clear as they are capable of providing comprehensive and up-to-date information and consultation in interactive and user-friendly manner ( [5], [6], [7], [8]. [9] also state that the convergence of technologies in the Internet and the field of expert systems have offered new ways of sharing and distributing knowledge.…”

Section: Fuzzy Expert System and Knowledge Distributionmentioning

confidence: 99%

Reducing Error Rates for Iris Image using higher Contrast in Normalization process

Ghali

Jamel

Pindar

et al. 2017

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. Heart attack is one of the serious illnesses and reported as the main killer disease.Early prevention is significant to reduce the risk of having the disease. The prevention efforts can be strengthen through awareness and education about risk factor and healthy lifestyle. Therefore the knowledge dissemination is needed to play role in order to distribute and educate public in health care management and disease prevention. Since the knowledge dissemination in medical is important, there is a need to develop a knowledge based system that can emulate human intelligence to assist decision making process. Thereby, this study utilized hybrid artificial intelligence (AI) techniques to develop a Fuzzy Expert System for Diagnosing Heart Attack Disease (HAD). This system integrates fuzzy logic with expert system, which helps the medical practitioner and people to predict the risk and as well as diagnosing heart attack based on given symptom. The development of HAD is expected not only providing expert knowledge but potentially become one of learning resources to help citizens to develop awareness about heart-healthy lifestyle.

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Section: Fuzzy Expert System and Knowledge Distributionmentioning

confidence: 99%

Reducing Error Rates for Iris Image using higher Contrast in Normalization process

Ghali

Jamel

Pindar

et al. 2017

IOP Conf. Ser.: Mater. Sci. Eng.

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“…In the literature, we could find several attempts to share patient information over the internet (Jane et al, in their paper, provided a nice review of several related works), but most of them were focused on development of an underlying canonical model to provide an integrated view of patient data from the heterogeneous, distributed databases. 6 Our focus is on development of an efficient and flexible working environment that can improve flexibility and efficiency in creating, storing, and exchanging diagnostic reports. To meet these needs, we considered XForms standard.…”

Section: Blocks Of Rismentioning

confidence: 99%

“…1 Meanwhile, with regard to security and privacy, the Health Insurance Portability and Accountability Act (HIPAA) regulations came into effect in 1996, and many HIPAA-compliant software programs are now on the market. 6,7 As geographical restrictions and possible security problems can be overcome, diagnostic imaging services are gradually considered as an independent business model.…”

Section: Introductionmentioning

confidence: 99%

Web-based Diagnostic Imaging Service Using XML Forms

Hur

Lee²,

Kim³

2006

J Digit Imaging

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Traditionally, radiology has been conceived as a support department providing patient scanning services to the other clinical departments in a hospital. However, recent advancements in networking technology and related information systems such as picture archiving and communication system (PACS) and radiology information system (RIS) provide new opportunities for inventing different types of diagnostic imaging businesses such as teleradiology. In this article, we examined the business processes of currently operating imaging centers and proposed a prototype of an information system that can facilitate their workflows in a more efficient way. The principal component of our proposed system is a report management module built on extensible markup language (XML) technologies that allows much flexibility and convenience for both imaging technicians and radiologists.

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“…Additionally, healthcare is one of the most difficult domains to undertake due to its intrinsic complexity. The healthcare sector is not only largely distributed and fragmented but it also exhibits a high degree of diversity with strong local autonomy [7]. Also, this domain is very information -intensive and missioncritical [8].…”

Section: Introductionmentioning

confidence: 99%