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Published on in Vol 5, No 1 (2013):

JMIR Publications logo: Advancing Digital Health & Open Science

Using Information Entropy to Monitor Chief Complaint Characteristics and Quality

Using Information Entropy to Monitor Chief Complaint Characteristics and Quality

Authors of this article:

Shaun Grannis1 ;   Brian Dixon2 ;   Yuni Xia3 ;   Jianmin Wu2
The full text of this article is available as a PDF download by clicking here.

As we enter the ''big medical data'' era, a new core competency is to continuously monitor quality of data collected from electronic sources, including population surveillance data sources. We describe how entropy, a fundamental information measure, can help monitor the characteristics of chief complaints in an operational surveillance system.