AMIA Recommends “Periodic Table” Of Biomedical Data Standards
Sometimes a document seems so impenetrable, so dense and so dry that it doesn’t seem worth the effort to read it. But strangely enough, sometimes plowing ahead is worth the trouble, and this is one of those times. If you dig through the layers of a recent letter AMIA wrote to the National Library of Medicine, you’ll pick up some interesting ideas about the nature of data science and its role in managing healthcare data.
AMIA wrote the letter in response to an NLM Request for Information on next-generation data science challenges in health and biomedicine. What’s interesting about this request is the reality that data science overall is still evolving, which means that defining its applications in health and biomedicine is a particularly challenging exercise. Still, why wait ’till the answers are obvious. Where’s the fun in that?
In its RFI, the National Library asked for input on new data science research initiatives that could address key problems in health and biomedicine, along with suggestions on which data science research directions in health and biomedicine it should pursue.
The health IT trade group argued that the best thing it could do was focus on the basic science of data standards, including “development of granular data specifications to enable a ‘periodic table of elements’ approach to biomedical data standards.”
The group rightly notes that at present, data elements may be grouped together in different ways depending on the purpose f...
Source: EMR and HIPAA - Category: Information Technology Authors: Anne Zieger Tags: EHR Electronic Health Record Electronic Medical Record EMR Healthcare Healthcare Interoperability mHealth Radiology AMIA Biomedical Data Standards Biomedicine Data Science Health Imaging Healthcare Data Elements Healthcare Meta Source Type: blogs
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