2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS) 2012
DOI: 10.1109/cbms.2012.6266378
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MyPHRMachines: Lifelong Personal Health Records in the cloud

Abstract: Personal Health Records (PHRs) should remain the lifelong property of patients and should be showable conveniently and securely to selected caregivers. Regarding interoperability, current solutions for PHRs focus on standard data exchange formats and transformations to move data across health information systems. In this paper we propose MyPHRMachines, a patient-centric system that takes a radically new architectural solution to health record interoperability. We propose to deploy besides the medical data also… Show more

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Cited by 10 publications
(6 citation statements)
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“…To calculate interaction trust (IT), most researchers have utilized likely prototype models. Among those that utilize aggregate negative and positive feedback to evaluate interaction trust (IT), such as [38,39], the beta distribution function stands out. It includes α and β in evaluating trust interactions.…”
Section: Interaction Importancementioning
confidence: 99%
“…To calculate interaction trust (IT), most researchers have utilized likely prototype models. Among those that utilize aggregate negative and positive feedback to evaluate interaction trust (IT), such as [38,39], the beta distribution function stands out. It includes α and β in evaluating trust interactions.…”
Section: Interaction Importancementioning
confidence: 99%
“…To calculate interaction trust ( ), most researchers have utilized likely prototype models. Among those that utilize aggregate negative and positive feedback to evaluate interaction trust ( ), such as [38] and [39], the beta distribution function stands out. It includes α and β in evaluating trust interactions.…”
Section: Interaction Importancementioning
confidence: 99%
“…Researchers have introduced possible prototype models for the calculation of interaction trust. Among these, we have those that use aggregate positive and negative feedback to examine interaction trust, such as [40] and [41], in which the beta function stands out and includes the alpha and beta to evaluate interaction trust. All existing prototypes that use the beta distribution function for the calculation of consumer trust increment alpha by 1 for positive feedback and beta by 1 when feedback is negative.…”
Section: ) Inconsistent Behaviormentioning
confidence: 99%