data dictionary

See the following -

CAV Systems Ltd Rebrands and Expands Product Suite

Press Release | CAV Systems, Ltd. | September 28, 2012

CAV Systems Ltd...has announced the Evolve Suite of data-mapping and migration tools for MUMPS users seeking a convenient and effective way to work with their data in relational environments while still retaining the many benefits of their production systems. Originally developed to satisfy the growing number of requests from CAV Systems’ own customers, the Evolve Suite is now available to address similar needs for the MUMPS community at large. In particular, the two leading implementations of MUMPS in the market today, Caché from InterSystems Corporation and GT.M from FIS, are fully supported. Read More »

Munnecke on "Dots-First" vs. "Links-First" Metadata Approach, or Why ICD10 is Going to Fail

Note that, even in 1986, the Committee on Veterans’ Affairs was savvy to, and advocating the use of metadata (then called the “data dictionary – a roadmap to the database.”  It understood its use in VistA (then called DHCP), its role in portability (then with the Indian Health Service), and hopes to use it for the Department of Defense’s Composite Health Care System. Read More »

NIH-built Toolset Helps Researchers Share and Compare Data

Paul McCloskey | GCN | October 10, 2015

On battlefields across the Middle East and football fields in the United States, traumatic brain injury (TBI) has hit near-epidemic proportions in the past several years. Officials at the Centers for Disease Control and Prevention say it leads to 52,000 deaths and 275,000 hospitalizations in the U.S. each year. The spiraling caseload is pushing biomedical researchers to stretch their increasingly tight budgets and maximize their research to help prevent TBI and other serious health threats. Read More »

The Importance of a Nursing Data Framework for Clinical Data Exchange

With more than 4 million nurses in the U.S., nurses are the largest clinical segment of the U.S. healthcare sector. Nurses have indisputably demonstrated an ability to improve healthcare outcomes. We are just beginning to utilize data from healthcare information technologies and to leverage Artificial Intelligence (AI) to improve patient outcomes. One of the key benefits of AI will be the ability to leverage the data from nursing care plans and nursing diagnoses to perform work load balancing for nursing staff. This is a key solution to future management of the problem of the shortage of nurses.

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