Methods for improving natural language processing with enhanced automated screening for automated generation of a clinical summarization report and devices thereof

An electronic medical records computing apparatus, comprising memory comprising programmed instructions stored thereon and one or more processors configured to be capable of executing the stored programmed instructions to:

• convert into a common electronic format a plurality of different types of electronic medical records retrieved in response to a received request with patient identification data;
• apply a natural language processing algorithm to obtain a subset of summarization data from each of the converted medical electronic record based on medical information data in the received request, wherein the natural language processing algorithm improves utilization of one or more computing resources including memory and/or one or more processing cycles by screening the initial subset of summarization data based on one or more stored factors to generate a reduced subset of summarization data for each of the converted medical electronic records;
• populate at least a portion of the reduced subset of summarization data into a plurality of data fields within one of a plurality of templates identified for each of the converted electronic medical records from the reduced subset of summarization data for each of the converted medical electronic records;
• generate a clinical summarization record based on the at least a portion of the reduced subset of summarization data populated in the identified ones of the plurality of templates;
• and
• provide the clinical summarization record in response to the received request.

A non-transitory computer readable medium having stored thereon instructions improving natural language processing with enhanced automated screening for automated generation of a clinical summarization report comprising executable code which when executed by one or more processors, causes the one or more processors to:

• convert into a common electronic format a plurality of different types of electronic medical records retrieved in response to a received request with patient identification data;
• apply a natural language processing algorithm to obtain a subset of summarization data from each of the converted medical electronic record based on medical information data in the received request, wherein the natural language processing algorithm improves utilization of one or more computing resources including memory and/or one or more processing cycles by screening the initial subset of summarization data based on one or more stored factors to generate a reduced subset of summarization data for each of the converted medical electronic records;
• populate at least a portion of the reduced subset of summarization data into a plurality of data fields within one of a plurality of templates identified for each of the converted electronic medical records from the reduced subset of summarization data for each of the converted medical electronic records;
• generate a clinical summarization record based on the at least a portion of the reduced subset of summarization data populated in the identified ones of the plurality of templates;
• and
• provide the clinical summarization record in response to the received request.