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Waldenburger, Andreas; Nasseh, Daniel; 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), July 2016, Athens, Greece.
Full text not available from 'Open Access LMU'.

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.