Text Mining Based Adaptive Case Management Automation in the Field of Forensic Medicine

Abstract

In the paper is introduced an algorithm for automated processing of documents, managed in forensic medicine offices. The algorithm is based on series of steps that are executed in a sequence in which many aspects are controlled by the information extracted from the document itself. The resulted software solution is based on adaptive case management. Using text mining techniques and meta modelling, the incoming information is transformed into knowledge that is injected into the adaptive business processes. The proposed mechanism would reduce the total turnaround time, the needed manual work at each step and the confusion for the end user.