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Google Charts can be used to create real-time dashboards for monitoring and reporting data, which may be useful in some career fields. Another article from the NCBI, "Using Google Charts API to Generate a Real-Time Report Dashboard" (NCBI article [ 4 ] ), demonstrated this feature's integration in healthcare and research.
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 ...
Dashboards serve as a visual representation for a company to monitor progress and trends, not only among themselves but against other companies as well. Dashboards and visualizations contain data that is updated in real time. For example, if the underlying data in an Excel spreadsheet were to change, so would the visualization.
At HRS GE Healthcare Showcases Integrated Visualization Technology with Increased Versatility and More Effective Dose Management DENVER--(BUSINESS WIRE)-- GE Healthcare introduced today, during ...
Interactive data visualization enables direct actions on a graphical plot to change elements and link between multiple plots. [56] Interactive data visualization has been a pursuit of statisticians since the late 1960s. Examples of the developments can be found on the American Statistical Association video lending library. [57]
Voreen volume rendering engine—a library for visually exploring volume data sets. DICOM is supported and Voreen is used in medical visualization as well as for visualizing electron microscopy data. It is available under the GNU GPL. [50] VTK is a visualization toolkit available under the BSD license. [51]
For example, if the underlying data in an Excel spreadsheet were to change, so would the visualization. Power BI. Power BI provides the tools for a user to create different types of visualizations to communicate the data that they are using. Some examples of these visualizations include graphs, maps, and clustered columns.
Health data are classified as either structured or unstructured. Structured health data is standardized and easily transferable between health information systems. [4] For example, a patient's name, date of birth, or a blood-test result can be recorded in a structured data format.