Detecting Duplicates at Hospital Admission: Comparison of Deterministic and Probabilistic Record Linkage

Waldenburger, Andreas; Nasseh, Daniel and Stausberg, Jürgen (2016): Detecting Duplicates at Hospital Admission: Comparison of Deterministic and Probabilistic Record Linkage. 14th annual International Conference on Informatics, Management and Technology in Healthcare (ICIMTH), Athens, Greece, July 2016. Mantas, J. (ed.) : In: Unifying the Applications and Foundations of Biomedical and Health Informatics, Studies in health technology and informatics Vol. 226 Amsterdam, [Netherlands] ; Berlin, [Germany] ; Washington, District of Columbia: pp. 135-138

Abstract

Effective detection of corresponding or duplicate records in medical data sets is vital for a high quality health care system. We evaluate the efficacy of several current and novel record linkage approaches by modeling a hospital-admission scenario, wherein an incoming patient may or may not have been previously treated. Our work is to develop recommendations for how an automated system could operate in such a scenario, especially regarding comparison and classification. By using a large, anonymous, real-world data set, we can gain insight into the robustness of these methods in a way that artificial data sets cannot provide. Preliminary results show that even minor confounders have deleterious effects on our ability to classify matches. We aim to evaluate and refine a semi-supervised classification technique to cope with these influences.

• Item Type: Conference or Workshop Item (Report)
• Faculties: Medicine > Institute for Medical Information Processing, Biometry and Epidemiology
• Subjects: 600 Technology > 610 Medicine and health
• ISBN: 978-1-61499-663-7 ; 978-1-61499-664-4
• Place of Publication: Amsterdam, [Netherlands] ; Berlin, [Germany] ; Washington, District of Columbia
• Language: English