An ontology-based approach facilitating unified querying of biosignals and patient records

Kokkinaki, Alexandra; Chouvarda, Ioanna; Maglaveras, Nicos

doi:10.1109/iembs.2008.4649799

Cited by 9 publications

(6 citation statements)

References 6 publications

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“…The need to provide a more complete patient record with access to waveforms and images has long been recognized 28,29 . The recording of physiologic waveforms in the EMR 30 , or recording relevant waveform features in the EMR 31 at the time of the lowest value in the last 60 seconds could help remedy this problem. Addressing this type of problem would require configuring the recording of the data as a function of its purpose.…”

Section: Illustrating the Need For Medical Device Informatics –Examplesmentioning

confidence: 99%

The Need to Apply Medical Device Informatics in Developing Standards for Safe Interoperable Medical Systems

Weininger

Jaffe

Goldman

2017

Anesthesia &Amp; Analgesia

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Medical device and health information technology systems are increasingly interdependent with users demanding increased interoperability. Related safety standards must be developed taking into account this systems perspective. In this article we describe the current development of medical device standards and the need for these standards to address medical device informatics. Medical device information should be gathered from a broad range of clinical scenarios to lay the foundation for safe medical device interoperability. Five clinical examples show how medical device informatics principles, if applied in the development of medical device standards, could help facilitate the development of safe interoperable medical device systems. These examples illustrate the clinical implications of the failure to capture important signals and device attributes. We provide recommendations relating to the coordination between historically separate standards development groups; some which focus on safety and effectiveness, and others that focus on health informatics. We identify the need for a shared understanding among stakeholders and describe organizational structures to promote cooperation such that device-to-device interactions and related safety information are considered during standards development.

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Section: Illustrating the Need For Medical Device Informatics –Examplesmentioning

confidence: 99%

The Need to Apply Medical Device Informatics in Developing Standards for Safe Interoperable Medical Systems

Weininger

Jaffe

Goldman

2017

Anesthesia &Amp; Analgesia

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“…However, without this stimulus these initiatives may fail [38]. There is emergent use of ontologies in PHR [39].…”

Section: The Health Systemmentioning

confidence: 99%

The Evidence-base for Using Ontologies and Semantic Integration Methodologies to Support Integrated Chronic Disease Management in Primary and Ambulatory Care: Realist Review

et al. 2013

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SummaryBackground: Most chronic diseases are managed in primary and ambulatory care. The chronic care model (CCM) suggests a wide range of community, technological, team and patient factors contribute to effective chronic disease management. Ontologies have the capability to enable formalised linkage of heterogeneous data sources as might be found across the elements of the CCM. Objective: To describe the evidence base for using ontologies and other semantic integration methods to support chronic disease management. Method: We reviewed the evidence-base for the use of ontologies and other semantic integration methods within and across the elements of the CCM. We report them using a realist review describing the context in which the mechanism was applied, and any outcome measures. Results: Most evidence was descriptive with an almost complete absence of empirical research and important gaps in the evidence-base. We found some use of ontologies and semantic integration methods for community support of the medical home and for care in the community. Ubiquitous information technology (IT) and other IT tools were deployed to support self-management support, use of shared registries, health behavioural models and knowledge discovery tools to improve delivery system design. Data quality issues restricted the use of clinical data; however there was an increased use of interoperable data and health system integration. Conclusions: Ontologies and semantic integration methods are emergent with limited evidence-base for their implementation. However, they have the potential to integrate the disparate community wide data sources to provide the information necessary for effective chronic disease management.

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“…More recently, the focus has been given to semantic approaches (see, for example, (Brooks et al, 2011), (Kokkinaki et al, 2008), and (Brooks, 2009)), where, in addition to the core biosignal data, contextual information is included, such as patient and acquisition procedure information, enabling the integration of disparate and heterogeneous sources of medical information and facilitating their query and retrieval.…”

Section: State-of-the-artmentioning

confidence: 99%

StorageBIT - A Metadata-aware, Extensible, Semantic and Hierarchical Database for Biosignals

Carreiras

Silva²,

Lourenço³

et al. 2013

Proceedings of the International Conference on Health Informatics

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Acquisition of biomedical data is, nowadays, widespread, originating a deluge of data that may contain relevant and interesting information for health-care professionals, biosignal researchers, and the individuals themselves. This creates the need to organize the information in a structured way, facilitating collaboration and research efforts. Therefore, for that purpose, this paper investigates database systems and file formats, discussing current technologies, requirements and possible implementations. These implementations were put through a benchmarking package to analyze their insertion, query and update performance. A final approach combining the use of HDF5, a hierarchical file format for numerical data, and MongoDB, a NoSQL database, is proposed, as it showed the best combination of properties from the tested solutions.

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An ontology-based approach facilitating unified querying of biosignals and patient records

Cited by 9 publications

References 6 publications

The Need to Apply Medical Device Informatics in Developing Standards for Safe Interoperable Medical Systems

The Need to Apply Medical Device Informatics in Developing Standards for Safe Interoperable Medical Systems

The Evidence-base for Using Ontologies and Semantic Integration Methodologies to Support Integrated Chronic Disease Management in Primary and Ambulatory Care: Realist Review

StorageBIT - A Metadata-aware, Extensible, Semantic and Hierarchical Database for Biosignals

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