SYSTEMS AND METHODS FOR MODELING FREE-TEXT CLINICAL DOCUMENTS INTO A HIERARCHICAL GRAPH-LIKE DATA STRUCTURE BASED ON SEMANTIC RELATIONSHIPS AMONG CLINICAL CONCEPTS PRESENT IN THE DOCUMENTS

摘要

The present disclosure pertains to modeling free-text clinical documents into a hierarchical graph-like data structure based on semantic relationships among clinical concepts present in the documents. A method comprises parsing, identifying, and annotating clinical terms within free-text clinical documents. This is accomplished by storing identified clinical terms in a concept node. The concept node is a data structure that has a set of properties to categorize stored concepts. Clinical concepts of free-text clinical documents are classified into clinical event classes. The free-text clinical documents include clinical terms that were associated with clinical concept categories. Classifying clinical concepts includes organizing clinical text-free documents into sections that describe a specific aspect of the clinical text-free documents that include one or more of clinical, technical, or administrative aspects of the documents. Links are provided between clinical concepts such that individual clinical concepts correspond to individual concept nodes.