MIMIC-IV as a Clinical Data Schema
Niklas Giesa, Patrick Heeren, Sophie Anne Inès Klopfenstein, Anne Rike Flint, Louis Agha-Mir-Salim, Akira Poncette, Felix Balzer, Sebastian Boie
Abstract
Routinely collected electronic health records (EHR) in clinical information systems (CIS) are often heterogeneous, have inconsistent data formats and lack of documentation. We use the well-known open-source database schema of MIMIC-IV to address this issue aiming to support collaborative secondary analysis. Over 154 million data records from a German ICU have already been mapped and inserted into the schema successfully. However, discrepancies between the German and US health systems as well as specifics in our clinical source data hinder the direct translation to MIMIC. Evaluating and improving mapping completeness is part of the ongoing research.