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 Automatic recognition and deletion of large (lines, blocks ...) and small objects (dirt), which could hinder text recognition. This also opens up the possibility of evaluating laser-printed typewritten forms from the area of patient-data cards, if the PDF barcode printed on them is invalid or has not been recognised.
Transfer of reliable algorithms from the ADREMA Module for the dynamic recognition of fields through the recognition of lines of text and the separation of identified lines into text boxes. As a result, static allocation of text blocks to the associated data fields is superfluous.
Recognition and transfer of multi-line text information, in particular of diagnosis texts
Extension of functional scope for interrogation and feedback of multiple information for the reproduction of ICD10 codes and associated texts, including alias texts belonging to the ICD10 codes.
Direct communication between the rule system and the database module for the preparation and correctly allocated transmission of feedback values (ICD10 codes and alias texts) via the specific data query.
Definition and administration of any number of "bad boxes".
Additional data proof for subsequent non-time-dependent correction and renewed export of data sets previously exported.
Conversion of B/W scanning to grey-scale or colour scanning.
Preliminary image processing with: Image smoothing, dynamic background deletion and smoothing, field-specific correction of brightness and contrast, field-specific binarisation and image enhancement.
Direct brief capture of orders without subsequent long capture.
Display optimisation through separate display of complete data field and optical signalling of entry fields for quick entry of analysis.
Linking and integration of ELAT Communications Server for direct processing of ELAT orders. |
