BUILDING A PATIENT'S MEDICAL HISTORY FROM DISPARATE INFORMATION SOURCES

摘要

A patient's medical history is built by applying natural language processing to multiple patient records and identifying medical concepts with associated dates for each document. The documents are grouped into clusters based on the dates, and a primary concept is determined for each cluster by performing an analysis which assigns confidence values to the documents and selects the medical concept in the document having the highest confidence value as the primary concept. Primary concepts from respective document clusters are combined to generate a combined history. If the combined history is not feasible due to a conflict between primary concepts, the documents can be re-grouped into different clusters, and the analysis repeated. The invention can further identify an inter-concept conflict among the primary concepts involving at least two different concept types, then receive guidelines pertaining to relationships between the different concept types, and resolve the conflict by applying the relationships.