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  1. 1541
    “…As a result, the SPHN Resource Description Framework (RDF) schema was implemented together with a data ecosystem that encompasses data integration, validation tools, analysis helpers, training and documentation for representing health metadata and data in a consistent manner and reaching nationwide data interoperability goals. Data providers can now efficiently deliver several types of health data in a standardised and interoperable way while a high degree of flexibility is granted for the various demands of individual research projects. …”
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    FAIRification of health-related data using semantic web technologies in the Swiss Personalized Health Network
  2. 1542
    “…Standardization of remote healthcare is necessary, to improve the interoperability of systems as well as to address liability concerns and users´ preferences. …”
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    Are we ready for telemonitoring inflammatory bowel disease? A review of advances, enablers, and barriers
  3. 1543
    “…By following a minimal container I/O standard, we ensured as much interoperability as possible. We also created a command-line application, TB-ML, which can be used to easily combine pre-processing and prediction containers into complete pipelines ready for predicting resistance from novel, raw data with a single command. …”
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    TB-ML—a framework for comparing machine learning approaches to predict drug resistance of Mycobacterium tuberculosis
  4. 1544
    “…Therefore, we developed an approach to convert the geographical representation of roads and rivers in the Amazon into a combined, interoperable, and reusable dataset. To build the dataset, we processed and combined data from three data sources: OpenStreetMap, HydroSHEDS, and GloRiC. …”
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    River dataset as a potential fluvial transportation network for healthcare access in the Amazon region
  5. 1545
    “…The proposed solution was integrated with the current electronic health record system (EHR-S) and aimed to implement interoperability and structure information, and to create a collaborative platform between clinical and research teams. …”
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    Design and Implementation of a Collaborative Clinical Practice and Research Documentation System Using SNOMED-CT and HL7-CDA in the Context of a Pediatric Neurodevelopmental Unit
  6. 1546
    “…The ability to combine datasets and use data across many analyses is critical to the successful use of big data and is a concern for those who generate and use the data. Interoperability and data quality continue to be major challenges when working with different healthcare datasets. …”
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    Challenges to Using Big Data in Cancer
  7. 1547
    “…Critical factors in the development of these systems include attention to the use of robust pipelines for data aggregation, common data models, data deidentification to enable multiple uses, integration of data collection into physician workflows, terminology standardization and attention to interoperability, extensive quality assurance and quality control activity, incorporation of multiple data types, and understanding how data resources can be best applied. …”
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    Case Studies for Overcoming Challenges in Using Big Data in Cancer
  8. 1548
    “…CONCLUSION: This paper contributes an open interoperable e-health solution as alternative to the closed and commercial solutions and enables third-party developers to work collaboratively and extend the already implemented features, owing to the design based on plugins, value-added services, and multiple transport technologies and protocols.…”
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    Wireless standard-compliant e-health solution for elderly people with multiuser identification
  9. 1549
    por Levites, Yulia A., Revere, F. Lee
    Publicado 2023
    “…A key tenet of translational science is to understand common causes of inefficiency and failure in translational research projects (e.g., incorrect predictions of the toxicity or efficacy of new drugs, lack of data interoperability, ineffective clinical trial recruitment). …”
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    135 Evaluating the Role of Service Centers in Overcoming TS Barriers: Protocol Development and Pilot Implementation
  10. 1550
    “…The Fourth Industrial Revolution, also known as Industry 4.0, represents the rise of digital industrial technology that is propagating at an exponential rate compared to the previous three revolutions. Interoperability is a basis of production, where there is a continuous exchange of information between machines and production units that act autonomously and intelligently. …”
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    Biometrics for Industry 4.0: a survey of recent applications
  11. 1551
    “…We discuss how AtOM can facilitate atlas interoperability and data integration, thereby increasing compliance with the FAIR guiding principles. …”
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    AtOM, an ontology model to standardize use of brain atlases in tools, workflows, and data infrastructures
  12. 1552
    “…Additonally, these workflows use open-source containerized software and the WDL workflow language to ensure standardization and interoperability with other bioinformatics solutions, whilst being adaptable by the user. …”
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    Accelerating bioinformatics implementation in public health
  13. 1553
    “…Therefore, promoting the homogeneity of the workflow implementation requires guidelines and protocols which detail how the source code of the bioinformatics pipeline should be written and organized to ensure its usability, maintainability, interoperability, sustainability, portability, reproducibility, scalability and efficiency. …”
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    Geniac: Automatic Configuration GENerator and Installer for nextflow pipelines
  14. 1554
    “…Evaluating user-friendliness, we used the FAIRness principle to assess findability, accessibility, interoperability, and reusability. This ensured databases were easily accessible and usable. …”
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    An Updated Overview of Existing Cancer Databases and Identified Needs
  15. 1555
    por Liu, Tz-Jie, Lee, Hsu-Ting, Wu, Fan
    Publicado 2023
    “…In this study, we simulated healthcare institutions using Fast Healthcare Interoperability Resources (FHIR) for medical information exchange and utilized the exchanged medical information to create a dynamic dashboard to assist healthcare professionals in making medical decisions. …”
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    Building an Electronic Medical Record System Exchanged in FHIR Format and Its Visual Presentation
  16. 1556
    “…Developed PC focused on plausibility (German language) and legal aspects (treatment/monitoring of chronic conditions), while other criteria (e.g. interoperability standards) were considered optional. After applying the PC, 38 DiHAs were potentially relevant in the Austrian setting. …”
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    Digital Health Applications (DiHA): Approaches to develop a reimbursement process for the statutory health insurance in Austria
  17. 1557
    “…Various disconnected chord datasets are currently available for music analysis and information retrieval, but they are often limited by either their size, non-openness, lack of timed information, and interoperability. Together with the lack of overlapping repertoire coverage, this limits cross-corpus studies on harmony over time and across genres, and hampers research in computational music analysis (chord recognition, pattern mining, computational creativity), which needs access to large datasets. …”
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    ChoCo: a Chord Corpus and a Data Transformation Workflow for Musical Harmony Knowledge Graphs
  18. 1558
    “…A BCT ontology would enable the specification of relationships between BCTs, more precise definitions, and allow better interoperability with other ontologies. This ontology will be developed as part of the Human Behaviour-Change Project.…”
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    Behaviour change techniques taxonomy v1: Feedback to inform the development of an ontology
  19. 1559
    “…3D standard reference brains serve as key resources to understand the spatial organization of the brain and promote interoperability across different studies. However, unlike the adult mouse brain, the lack of standard 3D reference atlases for developing mouse brains has hindered advancement of our understanding of brain development. …”
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    Developmental Mouse Brain Common Coordinate Framework
  20. 1560
    “…CONCLUSION: Guidelines are needed for EHR data quality assessment to improve the efficiency, transparency, comparability, and interoperability of data quality assessment. These guidelines must be both scalable and flexible. …”
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    Electronic health record data quality assessment and tools: a systematic review
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