Abstract: Methods, non-transitory computer readable media, and devices that convert into a common electronic format a plurality electronic medical records retrieved in response to a request with identification data. A natural language processing algorithm is applied to obtain a subset of summarization data from each of the converted medical electronic record based on medical information data in the received request. The algorithm screens the initial subset of summarization data based on one or more factors to generate a reduced subset of summarization data for each of the converted medical electronic records. At least a portion of the reduced subset of summarization data is populated into 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. A clinical summarization record is generated based on at least the populated summarization data in each of the identified ones of the plurality of templates.

Abstract: Methods, non-transitory computer readable media, and devices that convert into a common electronic format a plurality electronic medical records retrieved in response to a request with identification data. A natural language processing algorithm is applied to obtain a subset of summarization data from each of the converted medical electronic record based on medical information data in the received request. The algorithm screens the initial subset of summarization data based on one or more factors to generate a reduced subset of summarization data for each of the converted medical electronic records. At least a portion of the reduced subset of summarization data is populated into 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. A clinical summarization record is generated based on at least the populated summarization data in each of the identified ones of the plurality of templates.