Difference between revisions of "Data Normalization"

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(Created page with '== Clinical Data Normalization == Clinical data comes in all different forms even for the same piece of information. For example, age could be reported as 40 years for an adult, …')
 
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''“The complexity of modern medicine exceeds the inherent limitations of the unaided human mind” – David M. Eddy, MD, PhD''
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== Clinical Data Normalization ==
 
== Clinical Data Normalization ==
 
Clinical data comes in all different forms even for the same piece of information. For example, age could be reported as 40 years for an adult, 18 months for a toddler or 3 days for an infant. Without normalization, data can’t be used as a single a dataset.
 
Clinical data comes in all different forms even for the same piece of information. For example, age could be reported as 40 years for an adult, 18 months for a toddler or 3 days for an infant. Without normalization, data can’t be used as a single a dataset.
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== Why do we need detailed clinical models? ==
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*The need for the clinical models is dictated by ''what we want to accomplish'' as providers of health care
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*The ''best clinical care'' requires the use of computerized clinical decision support and automated data analysis
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*''Clinical decision support'' and ''automated data analysis'' can only function against ''standard structured coded data''
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*The ''detailed clinical models'' provide the ''standard structure and terminology'' needed for clinical decision support and automated data analysis
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Data normalization is at the heart of secondary use of clinical data.  If the data is not comparable between sources, it can’t be aggregated into large datasets and used reliably to answer research questions or survey populations from multiple health organizations.
 
Data normalization is at the heart of secondary use of clinical data.  If the data is not comparable between sources, it can’t be aggregated into large datasets and used reliably to answer research questions or survey populations from multiple health organizations.

Revision as of 13:09, 22 October 2011

“The complexity of modern medicine exceeds the inherent limitations of the unaided human mind” – David M. Eddy, MD, PhD

Clinical Data Normalization

Clinical data comes in all different forms even for the same piece of information. For example, age could be reported as 40 years for an adult, 18 months for a toddler or 3 days for an infant. Without normalization, data can’t be used as a single a dataset.

Un-normalized Normalized (days) Normalized (months)
40 years 1436 47
18 months 543 18
3 days 3 0.1

Why do we need detailed clinical models?

  • The need for the clinical models is dictated by what we want to accomplish as providers of health care
  • The best clinical care requires the use of computerized clinical decision support and automated data analysis
  • Clinical decision support and automated data analysis can only function against standard structured coded data
  • The detailed clinical models provide the standard structure and terminology needed for clinical decision support and automated data analysis


Data normalization is at the heart of secondary use of clinical data. If the data is not comparable between sources, it can’t be aggregated into large datasets and used reliably to answer research questions or survey populations from multiple health organizations.