Intelligent Integration of Discharge Summary: A Formative Model

Many organizations and healthcare providers are concerned on implementing new tools and applications to improve the quality of the provided services and to speed up the processing time. Discharge summary report (DSR) is one of the curtail reports that consumes the physician efforts and time to integrate it. Only limited researches exist on automating the integration of DSR, which is based on combining various patient data from his/her Hospital Medical Reports (HMR). The intention for this paper is to construct a formative model for constructing Intelligent Discharge System (IDS) automatically without human intervention. Method: DSR integration composed of text summarization technique which provides the ability to extract an important data from a large size of text that collected from several parts of patient´s HMR. In addition to Natural Language Processing (NLP) techniques such as Segmentation, Stemming and Stopword Filtering in order to reduce the time for generating the DSR. Result: The produced DSR output contains all the required fields that should be included in the report, which has been approved by the physicians. The system showed an impressive improvement in DSR automated production.