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  1. 2201
    “…However, the adoption of this technology comes with challenges, such as infrastructure, interoperability, scalability, and regulatory compliance. …”
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    The Intersection of Radiology With Blockchain and Smart Contracts: A Perspective
  2. 2202
    “…Experiments in sending digitally signed and encrypted cases have been done, with some interoperability problem. DISCUSSION: High-resolution digital photomicrography and the Internet offer useful tools for telepathology consultations. …”
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    TME11/385: International Pathology Consultations through Internet E-mail and High Resolution Digital Photomicrography
  3. 2203
    “…We have associated these elements with modeling architecture to enhance both syntactic and semantic interoperability. The system has a Java-based multi-tiered architecture based on Unified Modeling Language (UML). …”
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    The development and deployment of Common Data Elements for tissue banks for translational research in cancer – An emerging standard based approach for the Mesothelioma Virtual Tissue Bank
  4. 2204
    “…By integrating datasets from an unsequenced crop plant (barley) in a database that has been designed for an animal model species (mouse) with a well established genome sequence, we prove the importance of the concept and practice of modular development and interoperability of software engineering for biological data sets.…”
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    Towards systems genetic analyses in barley: Integration of phenotypic, expression and genotype data into GeneNetwork
  5. 2205
    “…The standardised representation of the results will facilitate software interoperability, for example making it easier for analysis tools to take data from different QC packages, and will also help with archival and deposition of results. …”
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    The Quixote project: Collaborative and Open Quantum Chemistry data management in the Internet age
  6. 2206
    por Lluch, Maria
    Publicado 2012
    “…Findings from an innovation perspective, for instance, identified interoperability as a barrier to be overcome. A trend towards convergence between telecare and telehealth applications was also identified. …”
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    Experiences on Integrated Personal Health Systems—evidence from eight European countries
  7. 2207
    por Kwo, David
    Publicado 2012
    “…INTEGRATION: Integration architectures range from full functional integration to data interoperability. In full functional integration architectures, the electronic patient record is at the core. …”
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    Systems architecture for integrated care
  8. 2208
    “…The adoption of the GLIF3.5 increased the potential for interoperability, shareability, and reusability of the query tasks.…”
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    A Web-Based Data-Querying Tool Based on Ontology-Driven Methodology and Flowchart-Based Model
  9. 2209
    “…METHODS: We employed concepts from computer science to create legal requirement clusters that enable legal interoperability between databases for the areas of data protection, data security, Intellectual Property (IP) and security of biosample data. …”
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    Legal assessment tool (LAT): an interactive tool to address privacy and data protection issues for data sharing
  10. 2210
    “…In particular, the challenge of extensibility limits their applicability to certain subsets or locations, challenge of interoperability limits its expressiveness beyond physiologic data, and finally the challenge of instantaneity limits the extent of interactive user engagement.…”
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    A Review of Visual Representations of Physiologic Data
  11. 2211
    “…In terms of governance, developers of digital behavior interventions should comply with existing regulatory frameworks, but with consideration for emerging standards around information governance, ethics, and interoperability.…”
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    Developing and Evaluating Digital Interventions to Promote Behavior Change in Health and Health Care: Recommendations Resulting From an International Workshop
  12. 2212
    “…It emphasizes integration with external applications to maximize interoperability. Its robust new plugin framework allows everything from image formats, to scripting languages, to visualization to be extended by the community. …”
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    ImageJ2: ImageJ for the next generation of scientific image data
  13. 2213
    “…Interoperability will enable integration of diverse data sources and tools and collaborative development of variant effect prediction methods. …”
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    Mapping genetic variations to three-dimensional protein structures to enhance variant interpretation: a proposed framework
  14. 2214
    “…BACKGROUND: The goal of ontology matching is to identify correspondences between entities from different yet overlapping ontologies so as to facilitate semantic integration, reuse and interoperability. As a well developed mathematical model for analyzing individuals and structuring concepts, Formal Concept Analysis (FCA) has been applied to ontology matching (OM) tasks since the beginning of OM research, whereas ontological knowledge exploited in FCA-based methods is limited. …”
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    Matching biomedical ontologies based on formal concept analysis
  15. 2215
    “…METHODS: Based on a documentary review, followed by five week-long country visits involving a total of 61 interviews and group discussions with experts from both the health and non-health sectors, this qualitative case study has investigated six issues related to preparedness and response to MERS and poliomyelitis: national plans and overall preparedness capacity; training and exercises; risk communication; linking policy and implementation; interoperability between the health and non-health sectors; and cross-border collaboration. …”
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    Preparedness and response against diseases with epidemic potential in the European Union: a qualitative case study of Middle East Respiratory Syndrome (MERS) and poliomyelitis in five member states
  16. 2216
    “…CONCLUSIONS: The proposed DEDICATE architecture and framework envisages a feasible means to overcome the present barriers by: (1) developing and integrating technologies that can follow the patient and the caregivers throughout the development of the condition, since the early stages in which the patient is able to build up preferences and memories will be used in the later stages to maximise personalization and thereby improve efficacy and usability (technology innovation); (2) guaranteeing the care coordination between formal and informal caregivers, and giving an active yet supported role to the latter (service innovation); and (3) integrating existing infrastructures and care models to decrease the cost of the overall care pathway, by improving system interoperability (business model innovation).…”
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    DEDICATE: proposal for a conceptual framework to develop dementia-friendly integrated eCare support
  17. 2217
    “…To learn from and ensure interoperability with other European indicators, 15 experts from the HBM4EU project (German Umweltbundesamt (UBA), Flemish research institute VITO, University of Antwerp, European Environment Agency (EEA)), and the World Health Organization (WHO), European Core Health Indicator initiative (ECHI), Eurostat, Swiss ETH Zurich and the Czech environmental institute CENIA, joined and contributed to a workshop, held in June 2017 at the EEA in Copenhagen. …”
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    Development of Policy Relevant Human Biomonitoring Indicators for Chemical Exposure in the European Population
  18. 2218
    “…Our analysis identified cross-cutting personal, institutional, and technological elements of trust that broadly cluster into 16 enablers (altruism, fair data access, ease of use, self-efficacy, sociodemographic factors, recommendation by other users, usefulness, customizable design features, interoperability, privacy, initial face-to-face contact, guidelines for standardized use, stakeholder engagement, improved communication, decreased workloads, and service provider reputation) and 10 impediments (excessive costs, limited accessibility, sociodemographic factors, fear of data exploitation, insufficient training, defective technology, poor information quality, inadequate publicity, time-consuming, and service provider reputation) to trust in digital health. …”
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    Elements of Trust in Digital Health Systems: Scoping Review
  19. 2219
    por Peters, Kristian, Bradbury, James, Bergmann, Sven, Capuccini, Marco, Cascante, Marta, de Atauri, Pedro, Ebbels, Timothy M D, Foguet, Carles, Glen, Robert, Gonzalez-Beltran, Alejandra, Günther, Ulrich L, Handakas, Evangelos, Hankemeier, Thomas, Haug, Kenneth, Herman, Stephanie, Holub, Petr, Izzo, Massimiliano, Jacob, Daniel, Johnson, David, Jourdan, Fabien, Kale, Namrata, Karaman, Ibrahim, Khalili, Bita, Emami Khonsari, Payam, Kultima, Kim, Lampa, Samuel, Larsson, Anders, Ludwig, Christian, Moreno, Pablo, Neumann, Steffen, Novella, Jon Ander, O'Donovan, Claire, Pearce, Jake T M, Peluso, Alina, Piras, Marco Enrico, Pireddu, Luca, Reed, Michelle A C, Rocca-Serra, Philippe, Roger, Pierrick, Rosato, Antonio, Rueedi, Rico, Ruttkies, Christoph, Sadawi, Noureddin, Salek, Reza M, Sansone, Susanna-Assunta, Selivanov, Vitaly, Spjuth, Ola, Schober, Daniel, Thévenot, Etienne A, Tomasoni, Mattia, van Rijswijk, Merlijn, van Vliet, Michael, Viant, Mark R, Weber, Ralf J M, Zanetti, Gianluigi, Steinbeck, Christoph
    Publicado 2018
    “…FINDINGS: PhenoMeNal (Phenome and Metabolome aNalysis) is an advanced and complete solution to set up Infrastructure-as-a-Service (IaaS) that brings workflow-oriented, interoperable metabolomics data analysis platforms into the cloud. …”
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    PhenoMeNal: processing and analysis of metabolomics data in the cloud
  20. 2220
    “…We propose a representation of patients’ entire raw EHR records based on the Fast Healthcare Interoperability Resources (FHIR) format. We demonstrate that deep learning methods using this representation are capable of accurately predicting multiple medical events from multiple centers without site-specific data harmonization. …”
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    Scalable and accurate deep learning with electronic health records
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