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A Clinical Data Repository (CDR) or Clinical Data Warehouse (CDW) is a real time database that consolidates data from a variety of clinical sources to present a unified view of a single patient. It is optimized to allow clinicians to retrieve data for a single patient rather than to identify a population of patients with common characteristics ...
The portal for medical data models is a German [1] and European [2] medical research infrastructure. It is an open-access metadata-repository initiated for scientific purposes that can generate, analyse, release and reuse medical forms.
Dryad: repository of data underlying scientific publications in the basic and applied biosciences; Edinburgh Mouse Atlas; EPD Eukaryotic Promoter Database; FINDbase (the Frequency of INherited Disorders database) GigaDB: repository of large scale datasets underlying scientific publications in the biological and biomedical research
Includes text mining tools and links to external molecular and medical data sets. Free Yes EMBL-EBI: PubMed Central (PMC) [13] Biomedical, life sciences: 7,500,000 Free full-text archive of publications and preprints Free Yes NIH, NLM: ResearchGate: Multidisciplinary: 4,000,000 [citation needed] Commercial social networking site for scientists ...
Janus clinical trial data repository is a clinical trial data repository (or data warehouse) standard as sanctioned by the U.S. Food and Drug Administration (FDA). It was named for the Roman god Janus (mythology), who had two faces, one that could see in the past and one that could see in the future.
Master Patient Indexing is a feature of the AHLTA Clinical Data Repository (CDR). Over 100 CHCS host systems, DEERS (the Defense Enrollment Eligibility Reporting System), and AHLTA-Theater (the version being used in Iraq and other areas) all contributed patients into the CDR when it was created from 25 months of data pulls back in 2004.
Electronic records may help with the standardization of forms, terminology, and data input. [14] Digitization of forms facilitates the collection of data for epidemiology and clinical studies. [15] [16] However, standardization may create challenges for local practice. [9]
OpenMRS is founded on the principles of openness and sharing of ideas, software and strategies for deployment and use. The system is designed to be usable in very resource poor environments and can be modified with the addition of new data items, forms and reports without programming.
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