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A novel approach for exposing and sharing clinical data: the Translator Integrated Clinical and Environmental Exposures Service
2019
JAMIA Journal of the American Medical Informatics Association
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This study aimed to develop a novel, regulatory-compliant approach for openly exposing integrated clinical and environmental exposures data: the Integrated Clinical and Environmental Exposures Service ...
The results validated our overall approach for openly exposing and sharing integrated clinical and environmental exposures data. ...
ACKNOWLEDGEMENTS The authors acknowledge that this work was inspired by the work of other members of the Biomedical Data Translator Consortium. ...
doi:10.1093/jamia/ocz042
pmid:31077269
pmcid:PMC6748811
fatcat:lidagjfs7fbupk23iu3zrjgrmu
Clinical Data: Sources and Types, Regulatory Constraints, Applications
2019
Clinical and Translational Science
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Support for this project was provided by the National Center for Advancing Translational Sciences, National Institutes of Health through the Biomedical Data Translator program (awards 1OT3TR002019, 1OT3TR002020 ...
, 1OT3TR002025, 1OT3TR002026, 1OT3TR002027, 1OT2TR002514, 1OT2TR002515, 1OT2TR002517, 1OT2TR002520, 1OT2TR002584) and the Clinical and Translational Sciences Award program (award UL1TR002489). ...
, Columbia Open Health Data (COHD), and the Integrated Clinical and Environmental Exposures Service (ICEES). ...
doi:10.1111/cts.12638
pmid:31074176
pmcid:PMC6617834
fatcat:snayt3p3ljb2ram43ls5ppn5he
Secondary Use and Analysis of Big Data Collected for Patient Care
2017
IMIA Yearbook of Medical Informatics
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Through the use of several examples, this article aims to provide a glimpse into the different areas of application, namely clinical research, genomic research, study of environmental factors, and population ...
Results and Conclusions: Although most of the examples of secondary use of patient data lie in the arena of clinical and health services research, we have started to witness other important applications ...
of Cancer -G-DOC - [19] , integrated clinical omics database -iCOD - [20] , integrating data for analysis, anonymization and sharing -iDASH - [21] and tranSMART [22] ) in their review [23] . ...
doi:10.1055/s-0037-1606529
fatcat:xaytctv24ffqpcfz4fsa5phtou
Secondary Use and Analysis of Big Data Collected for Patient Care
2017
IMIA Yearbook of Medical Informatics
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Through the use of several examples, this article aims to provide a glimpse into the different areas of application, namely clinical research, genomic research, study of environmental factors, and population ...
Results and Conclusions: Although most of the examples of secondary use of patient data lie in the arena of clinical and health services research, we have started to witness other important applications ...
of Cancer -G-DOC - [19] , integrated clinical omics database -iCOD - [20] , integrating data for analysis, anonymization and sharing -iDASH - [21] and tranSMART [22] ) in their review [23] . ...
doi:10.15265/iy-2017-008
pmid:28480474
pmcid:PMC6239231
fatcat:kj4p5tf72zbzza6nady6ug4wcy
The PULSE Project: A Case of Use of Big Data Uses Toward a Cohomprensive Health Vision of City Well Being
[chapter]
2020
Lecture Notes in Computer Science
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PULSE aims to design and build a large-scale data management system enabling real time analytics of health, behaviour and environmental data on air quality. ...
The objective is to reduce the environmental and behavioral risk of chronic disease incidence to allow timely and evidence-driven management of epidemiological episodes linked in particular to two pathologies ...
This research was funded by the European Union's research and innovation program H2020 and is documented in grant No 727816. ...
doi:10.1007/978-3-030-51517-1_39
fatcat:dnmvm75x6vfrne7gjiaq4ggs6y
Grappling with the Future Use of Big Data for Translational Medicine and Clinical Care
2017
IMIA Yearbook of Medical Informatics
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Objectives: Although patients may have a wealth of imaging, genomic, monitoring, and personal device data, it has yet to be fully integrated into clinical care. ...
Methods: We identify three reasons for the lack of integration. The first is that "Big Data" is poorly managed by most Electronic Medical Record Systems (EMRS). ...
Acknowledgments Thanks to Christopher Herrick for development of figure 1. Funding from NIH awards U54 HG007963 and RO1 HG009174 contributed to these concepts. ...
doi:10.1055/s-0037-1606487
fatcat:zb3jkz6njnh6zpszglmxbtpuge
Grappling with the Future Use of Big Data for Translational Medicine and Clinical Care
2017
IMIA Yearbook of Medical Informatics
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Objectives: Although patients may have a wealth of imaging, genomic, monitoring, and personal device data, it has yet to be fully integrated into clinical care. ...
Methods: We identify three reasons for the lack of integration. The first is that "Big Data" is poorly managed by most Electronic Medical Record Systems (EMRS). ...
Acknowledgments Thanks to Christopher Herrick for development of figure 1. Funding from NIH awards U54 HG007963 and RO1 HG009174 contributed to these concepts. ...
doi:10.15265/iy-2017-020
pmid:29063545
pmcid:PMC6239222
fatcat:ljpbzrh2brd7nflk5rwlqyb4vm
Biomarkers for combat-related PTSD: focus on molecular networks from high-dimensional data
2014
European Journal of Psychotraumatology
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By integrating large-scale, highdimensional molecular, physiological, clinical, and behavioral data, the molecular networks that directly respond to perturbations that can lead to PTSD can be identified ...
Posttraumatic stress disorder (PTSD) and other deployment-related outcomes originate from a complex interplay between constellations of changes in DNA, environmental traumatic exposures, and other biological ...
Army
Conflict of interest and funding There is no conflict of interest in the present study for any of the authors. ...
doi:10.3402/ejpt.v5.23938
pmid:25206954
pmcid:PMC4138711
fatcat:2tq466cdwvg5dcoih72pa5rpaa
Breast Imaging in the Era of Big Data: Structured Reporting and Data Mining
2016
American Journal of Roentgenology
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Data currently stored in silos can be exposed and integrated to show a 360° view of a patient that will ultimately benefit that individual. ...
National Institutes of Health Clinical and Translational Science Award program is asking for broad collaborative efforts among researchers. ...
doi:10.2214/ajr.15.15396
pmid:26587797
pmcid:PMC4876713
fatcat:zlityyz5rvernjc4el2246m2cq
Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams
2016
Briefings in Bioinformatics
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Dudley laboratory is involved in various projects for identification and development of novel therapeutic and diagnostic approaches for human disease through integration and analysis of health care, biomedical ...
We also discuss examples of translational bioinformatics approaches to integrating patient-generated data with existing EMRs, personal health records, patient portals and clinical data repositories. ...
(NCI, U54-CA189201-02) to JTD and National Center for Advancing Translational Sciences (NCATS, UL1TR000067) Clinical and Translational Science Awards (CTSA) grant to JTD and KS. ...
doi:10.1093/bib/bbv118
pmid:26876889
pmcid:PMC5221424
fatcat:aqurlfusq5hslpabllsfmygk6m
Human Cell-Based in vitro Phenotypic Profiling for Drug Safety-Related Attrition
2019
Frontiers in Big Data
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, and organs-on-a-chip. ...
Even so, unexpected toxicities still account for 20-30% of clinical trial failures, in part due to the persistence of animal testing as the primary approach for de-risking new drugs. ...
ADVERSE OUTCOME PATHWAY FRAMEWORKS FOR INTEGRATING ASSAY PLATFORM RESULTS The Adverse Outcome Pathway (AOP) approach provides a particularly useful framework as it aligns platforms and data types to key ...
doi:10.3389/fdata.2019.00047
pmid:33693370
pmcid:PMC7931891
fatcat:ddti7ta3bfetljj64ea3hm4piq
Unlocking Big Data for better health
2017
Nature Biotechnology
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, medical, translational and clinical domains. ...
opened in 2013), which houses ELIXIR and an Innovation and Translation Suite, and for the on-going use of Tier III data centres and the equipment to enable data service provision. ...
doi:10.1038/nbt.3918
pmid:28700551
fatcat:oqiurm5cgzec7lfenvjvlemxoy
The GA4GH Phenopacket schema: A computable representation of clinical data for precision medicine
[article]
2021
medRxiv
pre-print
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, and this has impeded the sharing of phenotypic information for computational analysis. ...
Despite great strides in the development and wide acceptance of standards for exchanging structured information about genomic variants, there is no corresponding standard for exchanging phenotypic data ...
Acknowledgements The authors gratefully acknowledge insight and feedback from Marian H. Adly, Orion J. Buske, Pier Luigi Buttigieg, Nour Gazzaz, Janine Lewis, Manuel Posada de la Paz and Maria Taboada ...
doi:10.1101/2021.11.27.21266944
fatcat:rv7ksvht45dn5idczjwxdgjy5y
In Search of Big Medical Data Integration Solutions -A Comprehensive Survey
2019
IEEE Access
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Data integration is critically important within the healthcare sector because it enriches data, enhances its value, and more importantly paves a solid foundation for highly efficient and effective healthcare ...
However, it is not only the volume of the data but also the speed, variety, and uncertainty, which are promoting a massive challenge for traditional technologies such as data warehouse. ...
Also, integrating historical patient data about lifestyle and environmental exposure has the potential to determine the causes triggering the onset of a disease state. • Infectious diseases early detection ...
doi:10.1109/access.2019.2927491
fatcat:6ooixehrznfdnbwghzfeds3mky
4088 Longitudinal Assessment of Metabolic Syndrome as a Modifiable Risk factor of World Trade Center Particulate Matter Exposure Associated Lung Disease
2020
Journal of Clinical and Translational Science
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METHODS/STUDY POPULATION: WTC-particulate exposed firefighters, consented, with pre-9/11 FEV1 LLN (N = 5,746). Data assessed from last pre-9/11 till August 1, 2017. ...
of MetSyn to time of onset of WTC-LI; iii. a novel, partially linear single index regression model with repeatedly measured MetSyn to assess their joint effects and delineate their relative contribution ...
Variables were screened for inclusion in the model based on clinical relevance, availability in the EHR as structured data, and likelihood of timely documentation during routine clinical care, in the hopes ...
doi:10.1017/cts.2020.180
fatcat:wm7owbdq3fg6zmom4n73z7ueby
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