TY - JOUR AU - Grannis, Shaun AU - Dixon, Brian AU - Xia, Yuni AU - Wu, Jianmin PY - 2013/03/23 Y2 - 2024/03/28 TI - Using Information Entropy to Monitor Chief Complaint Characteristics and Quality JF - Online Journal of Public Health Informatics JA - OJPHI VL - 5 IS - 1 SE - Oral Presentations: Data Quality and Underlying Patterns in Data Streams DO - 10.5210/ojphi.v5i1.4543 UR - https://ojphi.org/ojs/index.php/ojphi/article/view/4543 SP - AB - 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. ER -