Towards Health 2.0: Mashups to the Rescue

Greenshpan, Ohad; Kveler, Ksenya; Carmeli, Boaz; Nelken, H.; Vortman, P.

doi:10.1007/978-3-642-04941-5_8

Cited by 4 publications

(7 citation statements)

References 22 publications

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“…As an example, Ohad Greenshpan et al proposed a mashup-based patient-centric xPHR (Extended Personal Health Records) system in order to assess the potential of latent effectiveness in the mashup approach (Greenshpan et al 2009). Their system includes components of three main classes namely Medical, Personal, and Collaboration and it is part of a larger system that provides personalized monitoring of patients with notification on anomalies to relatives and caregivers.…”

Section: Page | 27mentioning

confidence: 99%

A mashup based framework for multi level healthcare interoperability

Sadeghi

Benyoucef

2011

Inf Syst Front

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Section: Page | 27mentioning

confidence: 99%

A mashup based framework for multi level healthcare interoperability

Sadeghi

Benyoucef

2011

Inf Syst Front

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“…Fig. 1 depicts a graphical abstract view of a part of a real-life MashAPP, namely a patients portal [10]. This partial MashAPP consists of four applications (Drugstore, Electronic Health Record, a Map application and Pharmacies Online).…”

Section: Preliminariesmentioning

confidence: 99%

“…To assess the algorithms performance on real-life mashApps, as well as the effectiveness of our system assistance to users, we have considered a real-life MashAPP, namely MedickIT [10], a patient personal portal consisting of five applications (Drugstore, Electronic Health Record, a map service, Pharmacies Online and an SMS messages service). The size of the MashAPP is approx.…”

Section: Real-life Data and Effectivenessmentioning

confidence: 99%

“…Users may either follow the recommendation as is, or may follow other paths than those proposed, in which case new recommendations, consistent with the actual choices made by the user, are automatically computed. COMPASS is integrated with the Mashup Server and its operation was demonstrated in ICDE '10 on a real-life IBM patient portal [10]. The demonstration [2] only provides a high-level description of the system, while the current paper presents the underlying model and algorithms.…”

Section: Introductionmentioning

confidence: 99%

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Navigating in complex mashed-up applications

2010

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Mashups integrate a set of Web-services and data sources, often referred to as mashlets. We study in this paper a common scenario where these mashlets are components of larger Web-Applications. In this case, integration of mashlets yields a set of inter-connected applications, referred to as Mashed-up Applications (abbr. MashAPP). While interactions between the mashlets enrich the individual applications, they also render navigation within them more intricate for the user, as actions in one application may affect others. To assist users in their navigation through MashAPPs we provide a solution based on a simple, generic model for MashAPPs and navigation flows within them. Queries over the model allow users to describe navigation flows of interest, and an effective query evaluation algorithm provides users with recommendations on how to navigate within the MashAPP. The model and algorithms serve as a basis for the COMPASS system, built on top of the Mashup Server.

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“…Demonstration Scenario: We demonstrate the operation of COMPASS on a real-life patient portal developed at IBM [5]. demonstration, we will first present the original portal, ask the audience to navigate within it to achieve some particular goals, and show the difficulties encountered during navigation.…”

Section: Introductionmentioning

confidence: 99%

Navigating through Mashed-up Applications with COMPASS

Deutch

Greenshpan

Milo

2010

2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)

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Mashups integrate a set of complementary Webservices and data sources, often referred to as mashlets. We consider here a common scenario where the integrated mashlets are part of larger Web-applications, and their integration yields a set of inter-connected applications. We refer to them as Mashedup Applications (abbr. MashAPP). The inter-connections between the mashlets enrich the individual Web-applications, but at the same time make the user navigation within them more intricate as actions in one application may affect others. To address this difficulty, we present COMPASS, a system that assists users in their navigation through MashAPPs. The system employs a novel top-k algorithm to propose users the most effective navigation paths for their specified goals. The suggestions are continually adapted to choices taken by the users while navigating.

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Towards Health 2.0: Mashups to the Rescue

Cited by 4 publications

References 22 publications

A mashup based framework for multi level healthcare interoperability

A mashup based framework for multi level healthcare interoperability

Navigating in complex mashed-up applications

Navigating through Mashed-up Applications with COMPASS

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