Development and evaluation of a semantic data model for chest radiology

Despite significant achievements in many areas of medicine, computer-based technology has yet to demonstrate its ability to consistently process medical information. Important examples of this inability are the technological obstacles that currently impede the creation of a complete and lifelong computer-based patient record. The ability to process the medical language has long been identified as one of these technological challenges. An essential step toward the effective processing of the medical language is the development of representational models that formalize the language semantics. These models, also known as 'semantic data models,' make relationships between the different medical concepts explicit, while providing the context in which meaningful expressions can be unambiguously represented. The utilization of these models helps to unlock the meaning of these expressions, making it accessible to computer systems. The main hypothesis of the present study is that a semantic data