Design and Implementation of Anatomic Pathology Database System

May 2003

Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2003)

Volume

Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2003)

All Papers

This paper describes the design and implementation of the University of Florida’s Anatomic Pathology Database System. The first phase of the system consists of the patient record parser and DB generator. The second phase includes application development to facilitate the clinical and research needs of pathologists. The parser separates the patient record into meaningful blocks of information. The final application will provide web based service to pathologist using the DB tagged with XML and the knowledge maintained by SNOMED Semantic Network Knowledge Base (SSN-KB). We describe the conceptual architecture of the SSN-KB which is structured for fast and efficient information searching and information extraction.