2008
DOI: 10.1049/iet-com:20060699
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SAPHIRE: intelligent healthcare monitoring based on semantic interoperability platform: pilot applications

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Cited by 39 publications
(25 citation statements)
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“…In 2006, Komulainen et al [14] described a particular solution for an evidence-based decision support service where patient data were retrieved in HL7-CDA format and decisions were based in a specific decision support model relying on guidelines written in Javascript. In 2008, Nee et al described the SAPHIRE project [15], an intelligent healthcare monitoring architecture for cardiac patients, where the retrieval of patients' data was solved using the IHE cross-enterprise document sharing (XDS) being then transformed into HL7-CDA for its exploitation by the CDSS. Such exploitation was based in a specific extension of the GLIF3 (Guideline Interchange Format) clinical guideline model which permits semantically retrieving data from HL7-CDA documents, as was later detailed by Laleci and Dogac [16].…”
Section: State Of the Artmentioning
confidence: 99%
“…In 2006, Komulainen et al [14] described a particular solution for an evidence-based decision support service where patient data were retrieved in HL7-CDA format and decisions were based in a specific decision support model relying on guidelines written in Javascript. In 2008, Nee et al described the SAPHIRE project [15], an intelligent healthcare monitoring architecture for cardiac patients, where the retrieval of patients' data was solved using the IHE cross-enterprise document sharing (XDS) being then transformed into HL7-CDA for its exploitation by the CDSS. Such exploitation was based in a specific extension of the GLIF3 (Guideline Interchange Format) clinical guideline model which permits semantically retrieving data from HL7-CDA documents, as was later detailed by Laleci and Dogac [16].…”
Section: State Of the Artmentioning
confidence: 99%
“…One possible implementation of the components realizing the stabilization loop and alert generation is described in the next section. Nee et al (2008) describe a system that realized a system like the one shown in Fig. 5.…”
Section: Decision Support In a Homecare Scenariomentioning
confidence: 99%
“…One of the eHealth services implemented using the platform shown in Figure 1 is a system for the telerehabilitation of cardiac patients after a myocardial infarction that has been treated successfully [6]. The goal of the system is a reduced length of the costly inpatient rehabilitation and the augmentation of outpatient rehabilitation with a system that allows the patient to conduct medically supervised aerobic exercise trainings in their familiar surroundings.…”
Section: Tele-rehabilitation Servicementioning
confidence: 99%