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Background 3: Databases in Cardiology
Abstract
This chapter defines the set of standard diagnostic parameters and metadata expected from cardiac examinations. Rest ECG, exercise ECG, and long-term recording techniques are compared with regard to method-appropriate hierarchies of diagnostic results. This summary is approaching the idea of high redundancy in the dataset influencing data transmission and database operations. As far as the paper record was concerned, these spare data were useful in the validation and correction of human errors. Nowadays, automatic error detection and correction codes are widely applied in systems for storage and transmission of digital data. Basic issues about DICOM and HL7, two widespread medical information interchange systems, are presented thereafter. These general-purpose systems integrate multi-modal medical data and offer specialized tools for the storage, retrieval, and management of data. Both standards originate from the efforts of standardizing the description of possibly wide aspects of patient-oriented digital data in the form of electronic health records. Certain aspects of data security are also considered here.
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