Software-based decision science has an increasingly meaningful application to health care diagnostic protocols.
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Le Blog Serious Game Santé. Le Serious Game Santé vu par GENIOUS Interactive, concepteur et producteur de Serious Games. Via dbtmobile
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Data entered incorrectly in electronic health record systems can render not only that patient's record inaccurate, but also can adversely impact the results of research based on that data, according to a recent blog post by Anna Lembke, M.D., an assistant professor of psychiatry and behavioral sciences at Stanford's School of Medicine.
Lembke, writing on the school's blog Scope, points out that one of the benefits of EHRs is to use their information for "big data" purposes and that EHRs are being data mined to make "important decisions" about clinical care and health policy.
However, "if data-mining is based on inaccurate information, then the whole operation is a house of cards," she points out.
For example, one physician Lembke knows is required by his EHR to identify the ethnicity of all of his patients. Since he believes that this information isn't necessary, he quickly tackles that chore by listing them all as Albanian, since that is the first ethnic group listed on the EHR's pull down chart. As a result, more than 90 percent of his patients are identified as Albanian, even though they aren't, which falsely skews information about the population in his California county.
"Misinformation in electronic medical records, whether accidental or otherwise, has far-reaching consequences for patients and healthcare policy," Lembke warns.
Via nrip 
Paul Epping's comment,
October 20, 2012 3:32 PM
This problem can be limited if the EHR is based on structured data entry
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Software-based decision science has an increasingly meaningful application to health care diagnostic protocols.
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