The role of markup for enabling interoperability in health informatics

McKeever, Steve; Johnson, David

doi:10.3389/fphys.2015.00152

Cited by 6 publications

(4 citation statements)

References 34 publications

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“…The SOA services interact through structured documents, typically XML or JavaScript object notation (JSON) documents. In the proposed system, XML-type documents were chosen because of their large diffusion in healthcare [20], even with extensions targeting home healthcare applications [21].…”

Section: A Cloud-based Telecare Infrastructurementioning

confidence: 99%

Design and Usability Assessment of a Multi-Device SOA-Based Telecare Framework for the Elderly

Macis

Loi

Ulgheri

et al. 2020

IEEE J. Biomed. Health Inform.

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Telemonitoring is a branch of telehealth that aims at remotely monitoring vital signs, which is important for chronically ill patients and the elderly living alone. The available standalone devices and applications for the selfmonitoring of health parameters largely suffer from interoperability problems; meanwhile, telemonitoring medical devices are expensive, self-contained, and are not integrated into user-friendly technological platforms for the end user. This paper presents the technical aspects and usability assessment of the telemonitoring features of the HEREiAM platform, which supports heterogeneous information technology systems. By exploiting a service-oriented architecture, the measured parameters collected by off-the-shelf Bluetooth medical devices are sent as XML documents to a private cloud that implements an interoperable health service infrastructure, which is compliant with the most recent healthcare standards and security protocols. This Androidbased system is designed to be accessible both via TV and portable devices, and includes other utilities designed to support the elderly living alone. Four usability assessment sessions with quality-validated questionnaires were performed to accurately understand the ease of use, usefulness, acceptance, and quality of the proposed system. The results reveal that our system achieved very high usability scores even at its first use, and the scores did not significantly change over time during a field trial that lasted for four months, reinforcing the idea of an intuitive design.

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Section: A Cloud-based Telecare Infrastructurementioning

confidence: 99%

Design and Usability Assessment of a Multi-Device SOA-Based Telecare Framework for the Elderly

Macis

Loi

Ulgheri

et al. 2020

IEEE J. Biomed. Health Inform.

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“…Currently, there are further initiatives to establish a computational framework for multiscale modelling [114]. Andasari et al.…”

Section: Challenges and Outlookmentioning

confidence: 99%

“…Regarding hierarchical modelling of HPI, the software tool SPARKS [ 106 ] might be useful, but the development of easy-to-use software applications for multiscale modelling will be an important task in the coming decades. Currently, there are further initiatives to establish a computational framework for multiscale modelling [ 114 ]. Andasari et al.…”

Section: Challenges and Outlookmentioning

confidence: 99%

Facing the challenges of multiscale modelling of bacterial and fungal pathogen–host interactions

Schleicher¹,

Conrad²,

Gustafsson³

et al. 2016

Briefings in Functional Genomics

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Recent and rapidly evolving progress on high-throughput measurement techniques and computational performance has led to the emergence of new disciplines, such as systems medicine and translational systems biology. At the core of these disciplines lies the desire to produce multiscale models: mathematical models that integrate multiple scales of biological organization, ranging from molecular, cellular and tissue models to organ, whole-organism and population scale models. Using such models, hypotheses can systematically be tested. In this review, we present state-of-the-art multiscale modelling of bacterial and fungal infections, considering both the pathogen and host as well as their interaction. Multiscale modelling of the interactions of bacteria, especially Mycobacterium tuberculosis, with the human host is quite advanced. In contrast, models for fungal infections are still in their infancy, in particular regarding infections with the most important human pathogenic fungi, Candida albicans and Aspergillus fumigatus. We reflect on the current availability of computational approaches for multiscale modelling of host–pathogen interactions and point out current challenges. Finally, we provide an outlook for future requirements of multiscale modelling.

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“…Adaptable open standards for defining simulation models, such as CellML, FieldML and SBML, are also important. However, they are not, in themselves, a panacea for providing modelling compatibility [36,35,50].…”

Section: Introductionmentioning

confidence: 99%

Go-Smart: Web-based computational modeling of minimally invasive cancer treatments

Weir¹,

Reuter

Ellerweg

et al. 2015

2015 E-Health and Bioengineering Conference (EHB)

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The web-based Go-Smart environment is a scalable system that allows the prediction of minimally invasive cancer treatment. Interventional radiologists create a patient-specific 3D model by semi-automatic segmentation and registration of pre-interventional CT (Computed Tomography) and/or MRI (Magnetic Resonance Imaging) images in a 2D/3D browser environment. This model is used to compare patient-specific treatment plans and device performance via built-in simulation tools. Go-Smart includes evaluation techniques for comparing simulated treatment with real ablation lesions segmented from follow-up scans. The framework is highly extensible, allowing manufacturers and researchers to incorporate new ablation devices, mathematical models and physical parameters

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The role of markup for enabling interoperability in health informatics

Cited by 6 publications

References 34 publications

Design and Usability Assessment of a Multi-Device SOA-Based Telecare Framework for the Elderly

Design and Usability Assessment of a Multi-Device SOA-Based Telecare Framework for the Elderly

Facing the challenges of multiscale modelling of bacterial and fungal pathogen–host interactions

Go-Smart: Web-based computational modeling of minimally invasive cancer treatments

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