A Quality-of-Data Aware Mobile Decision Support System for Patients with Chronic Illnesses

Larburu, Nekane; Schooten, B.W. van; Shalom, Erez; Fung, Nick L. S.; Sinderen, Marten van; Hermens, Hermie; Jones, Val

doi:10.1007/978-3-319-26585-8_9

Cited by 2 publications

(10 citation statements)

References 21 publications

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“…The CIG can be applied in systems such as a clinical decision support system (CDSS), which can interpret and execute these guidelines. In this research study, we apply a CDSS integrated in a telemedicine system that uses the guidelines as the CDSS knowledge-base [6,43]. Typically, this guideline-based CDSS analyzes the clinical data from different sources and applies the guideline to provide decisions by means of, for example, clinical recommendations.…”

Section: Clinical Guidelines In Healthcare Systemsmentioning

confidence: 99%

“…change activity from walking to sitting), or the adjustment of parameters of these activities by extending the declarative knowledge of the guideline (e.g. lower the walking activity intensity factor) [6]. Requirements engineers include this information in the parallel workflow representations discussed in Section 5.2.1.…”

Section: Cig Customizationmentioning

confidence: 99%

“…patient clinical data stored into the back-end storage). Based on this information, it provides guidelinebased QoD-aware treatment guidance to the patient by using the mobile patient guidance system (using a projection language [6], Figure 6.17). It also provides treatment guidance information to the care practitioners via the caregiver GUI.…”

Section: Back-end Cdssmentioning

confidence: 99%

“…In order to share the QoD-aware treatment guidance information, a projection language is developed [6]. Figure 6.17 shows an example of the projection language.…”

Section: Activity Diagrammentioning

confidence: 99%

“…Furthermore, the MG system uses the BAN message services in order to provide the guideline knowledge (procedural and declarative knowledge) from the back-end CDSS to the mobile CDSS. For that, in MG we developed a common projection language [6]. This projection language was designed to be simple, yet flexible, powerful and generic.…”

Section: Back-end Guidance System Vs Mobile Patient Guidance Systemmentioning

confidence: 99%

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Quality of clinical data aware telemedicine systems

Rubio¹

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Section: Clinical Guidelines In Healthcare Systemsmentioning

confidence: 99%

Section: Cig Customizationmentioning

confidence: 99%

Section: Back-end Cdssmentioning

confidence: 99%

“…In order to share the QoD-aware treatment guidance information, a projection language is developed [6]. Figure 6.17 shows an example of the projection language.…”

Section: Activity Diagrammentioning

confidence: 99%

Section: Back-end Guidance System Vs Mobile Patient Guidance Systemmentioning

confidence: 99%

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Quality of clinical data aware telemedicine systems

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Implementation of a Distributed Guideline-Based Decision Support Model Within a Patient-Guidance Framework

Shalom

Shaḥar

Goldstein

et al. 2015

Knowledge Representation for Health Care

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Abstract. We report on new projection engine which was developed in order to implement a distributed guideline-based decision support system (DSS) within the European project MobiGuide.In this model, small portions of the guideline knowledge are projected, i.e. 'downloaded', from a central DSS server to a local DSS in the patient's mobile device, which then applies that knowledge using the mobile device's local resources. Furthermore, the projection engine generates guideline projections which are adapted to the patient's previously defined preferences and, implicitly, to the patient's current context, which is embodied in the projected knowledge. We evaluated this distributed guideline application model for two complex guidelines: one for Gestational Diabetes Mellitus, and one for Atrial Fibrillation. We found that the initial specification of what we refer to as the customized guideline should be in the terms of the distributed DSS, i.e., include two levels: one for the central DSS, and one for the local DSS. In addition, we found significant differences between the customized, distributed versions of the two guidelines, indicating further research directions and possibly additional ways to analyze and characterize guidelines.

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A Quality-of-Data Aware Mobile Decision Support System for Patients with Chronic Illnesses

Cited by 2 publications

References 21 publications

Quality of clinical data aware telemedicine systems

Quality of clinical data aware telemedicine systems

Implementation of a Distributed Guideline-Based Decision Support Model Within a Patient-Guidance Framework

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