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  1. 2121
    “…The Informatics for Integrating Biology and the Bedside (i2b2) project supports data network interoperability through an ontology-driven approach. We use i2b2 as a hub, to rapidly reconfigure data to meet new analytical requirements without new ETL programming. …”
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    Data interchange using i2b2
  2. 2122
    “…CONCLUSIONS: We expect the use of the MVLD to streamline clinical interpretation of cancer variants, enhance interoperability among multiple redundant curation efforts, and increase submission of somatic variants to ClinVar, all of which will enhance translation to clinical oncology practice. …”
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    Somatic cancer variant curation and harmonization through consensus minimum variant level data
  3. 2123
    “…It can replace expensive and error-prone manual parsing and standardization of scientific names in many situations, and can quickly enhance the interoperability of distributed biological information. …”
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    “gnparser”: a powerful parser for scientific names based on Parsing Expression Grammar
  4. 2124
    “…Researchers use ontologies to annotate their data with ontology terms, enabling better data integration and interoperability across disparate datasets. However, the number, variety and complexity of current biomedical ontologies make it cumbersome for researchers to determine which ones to reuse for their specific needs. …”
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    NCBO Ontology Recommender 2.0: an enhanced approach for biomedical ontology recommendation
  5. 2125
    “…The first four standards address data preservation and interoperability for sharing, whereas standards 5–9 establish minimum metadata standards for organismal biology video, and suggest additional metadata that may be useful for some studies. …”
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    Data Management Rubric for Video Data in Organismal Biology
  6. 2126
    “…OBJECTIVES: In order to improve the accessibility, reusability, and interoperability of the data and metadata stored in ‘mwTab’ formatted files, we implemented a Python library and package. …”
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    A Python library for FAIRer access and deposition to the Metabolomics Workbench Data Repository
  7. 2127
    “…Our model applies published experimental data on calcium channel manipulation of DCV-BDNF and incorporates organizational complexity of the axon as bundled polar and discontinuous MTs. The interoperability simulation is based on the Institute of Electrical and Electronics Engineers standard association P1906.1 framework for nanoscale and molecular communication. …”
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    Modeling the neuron as a nanocommunication system to identify spatiotemporal molecular events in neurodegenerative disease
  8. 2128
    “…Finally, improving the interoperability of health systems through judicious use of biometrics or identifiers when confidentiality can be maintained is important to generate more valuable data to inform monitoring programmes. …”
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    HIV viral load monitoring among key populations in low‐ and middle‐income countries: challenges and opportunities
  9. 2129
    “…However, providers were limited in their ability to efficiently share patient data due to data access issues across organizational and professional boundaries and due to system functionality limitations, such as a lack of interoperability. CONCLUSIONS: Even in innovative models of care, managers and providers in our cases mainly use technology to enable traditional ways of working. …”
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    Using information communication technology in models of integrated community-based primary health care: learning from the iCOACH case studies
  10. 2130
    “…The data was captured using standard ontologies to ensure consistency, and enhance searchability and interoperability. We have assessed the extent to which functional defects at the molecular and cellular levels correlate with the clinical interpretation of variants by ClinVar submitters. …”
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    A new bioinformatics tool to help assess the significance of BRCA1 variants
  11. 2131
    “…For constructing value sets, Systematized Nomenclature of Medicine–Clinical Terms (SNOMED CT) offers high clinical fidelity, a hierarchical ontology, and wide implementation in EHRs as the standard interoperability vocabulary for problems. Objective  This article demonstrates a practical approach to defining conditions with combinations of SNOMED CT concept hierarchies, and evaluates sharing of definitions for clinical and analytic uses. …”
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    SNOMED CT Concept Hierarchies for Sharing Definitions of Clinical Conditions Using Electronic Health Record Data
  12. 2132
    “…BACKGROUND: The openEHR approach can improve the interoperability of electronic health record (EHR) through two-level modeling. …”
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    Modeling EHR with the openEHR approach: an exploratory study in China
  13. 2133
    “…However, the huge potential benefits of digital health to advance health services delivery in Africa is yet to be fully harnessed due to critical challenges such as proliferation of pilot projects, poor coordination, inadequate preparedness of the African health workforce for digital health, lack of interoperability and inadequate sustainable financing, among others. …”
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    Conclusions of the digital health hub of the Transform Africa Summit (2018): strong government leadership and public-private-partnerships are key prerequisites for sustainable scale up of digital health in Africa
  14. 2134
    “…BACKGROUND: In the Next Generation Sequencing (NGS) era a large amount of biological data is being sequenced, analyzed, and stored in many public databases, whose interoperability is often required to allow an enhanced accessibility. …”
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    Combining DNA methylation and RNA sequencing data of cancer for supervised knowledge extraction
  15. 2135
    por Köhler, Sebastian, Carmody, Leigh, Vasilevsky, Nicole, Jacobsen, Julius O B, Danis, Daniel, Gourdine, Jean-Philippe, Gargano, Michael, Harris, Nomi L, Matentzoglu, Nicolas, McMurry, Julie A, Osumi-Sutherland, David, Cipriani, Valentina, Balhoff, James P, Conlin, Tom, Blau, Hannah, Baynam, Gareth, Palmer, Richard, Gratian, Dylan, Dawkins, Hugh, Segal, Michael, Jansen, Anna C, Muaz, Ahmed, Chang, Willie H, Bergerson, Jenna, Laulederkind, Stanley J F, Yüksel, Zafer, Beltran, Sergi, Freeman, Alexandra F, Sergouniotis, Panagiotis I, Durkin, Daniel, Storm, Andrea L, Hanauer, Marc, Brudno, Michael, Bello, Susan M, Sincan, Murat, Rageth, Kayli, Wheeler, Matthew T, Oegema, Renske, Lourghi, Halima, Della Rocca, Maria G, Thompson, Rachel, Castellanos, Francisco, Priest, James, Cunningham-Rundles, Charlotte, Hegde, Ayushi, Lovering, Ruth C, Hajek, Catherine, Olry, Annie, Notarangelo, Luigi, Similuk, Morgan, Zhang, Xingmin A, Gómez-Andrés, David, Lochmüller, Hanns, Dollfus, Hélène, Rosenzweig, Sergio, Marwaha, Shruti, Rath, Ana, Sullivan, Kathleen, Smith, Cynthia, Milner, Joshua D, Leroux, Dorothée, Boerkoel, Cornelius F, Klion, Amy, Carter, Melody C, Groza, Tudor, Smedley, Damian, Haendel, Melissa A, Mungall, Chris, Robinson, Peter N
    Publicado 2019
    “…Its detailed descriptions of clinical abnormalities and computable disease definitions have made HPO the de facto standard for deep phenotyping in the field of rare disease. The HPO’s interoperability with other ontologies has enabled it to be used to improve diagnostic accuracy by incorporating model organism data. …”
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    Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources
  16. 2136
    “…They can be used to provide robust terminology standards and to enhance data interoperability. Here, we discuss the development of the ophthalmology-related component of two well-established biomedical ontologies, the Human Phenotype Ontology (HPO; includes signs, symptoms and investigation findings) and the Orphanet Rare Disease Ontology (ORDO; includes rare disease nomenclature/nosology). …”
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    An ontological foundation for ocular phenotypes and rare eye diseases
  17. 2137
    “…Switzerland’s diversity and complexity, in terms of its organization with 26 cantons (administrative divisions), were barriers as these made it harder to ensure interoperability of interventions. A culture of innovation was considered a push factor, but adoption was inhibited by persistent paper-based systems, a fear of change, and unwillingness to share data. …”
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    Sustainable Adoption of Digital Health Innovations: Perspectives From a Stakeholder Workshop
  18. 2138
    “…As recent studies pointed to several limitations of RD registries our challenge was (1) to improve standardization and data comparability; (2) to facilitate interoperability between existing RD registries; (3) to limit the amount of incomplete data; (4) to improve data quality. …”
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    The DM-scope registry: a rare disease innovative framework bridging the gap between research and medical care
  19. 2139
    por Selby, Peter, Abbeloos, Rafael, Backlund, Jan Erik, Basterrechea Salido, Martin, Bauchet, Guillaume, Benites-Alfaro, Omar E, Birkett, Clay, Calaminos, Viana C, Carceller, Pierre, Cornut, Guillaume, Vasques Costa, Bruno, Edwards, Jeremy D, Finkers, Richard, Yanxin Gao, Star, Ghaffar, Mehmood, Glaser, Philip, Guignon, Valentin, Hok, Puthick, Kilian, Andrzej, König, Patrick, Lagare, Jack Elendil B, Lange, Matthias, Laporte, Marie-Angélique, Larmande, Pierre, LeBauer, David S, Lyon, David A, Marshall, David S, Matthews, Dave, Milne, Iain, Mistry, Naymesh, Morales, Nicolas, Mueller, Lukas A, Neveu, Pascal, Papoutsoglou, Evangelia, Pearce, Brian, Perez-Masias, Ivan, Pommier, Cyril, Ramírez-González, Ricardo H, Rathore, Abhishek, Raquel, Angel Manica, Raubach, Sebastian, Rife, Trevor, Robbins, Kelly, Rouard, Mathieu, Sarma, Chaitanya, Scholz, Uwe, Sempéré, Guilhem, Shaw, Paul D, Simon, Reinhard, Soldevilla, Nahuel, Stephen, Gordon, Sun, Qi, Tovar, Clarysabel, Uszynski, Grzegorz, Verouden, Maikel
    Publicado 2019
    “…RESULTS: To facilitate interoperability among breeding applications, we present the public plant Breeding Application Programming Interface (BrAPI). …”
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    BrAPI—an application programming interface for plant breeding applications
  20. 2140
    por Zimmerman, Janice L.
    Publicado 2019
    “…These systems must have characteristics of association, interoperability, integration, security, safety, and real-time synchronization(4). …”
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    What is the future of ICUs?
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