Building a Unified System for Medical Intelligence to Guide Clinical Decision-Making

The aim of this paper is to develop an integrated medical intelligence system for clinical decision support. The medical system in Nigeria today suffers from lack of fast, accurate, reliable and intelligent software solutions that can help healthcare practitioners make decisions that would solve urgent, and in some cases, complex medical problems in real-time. Also, the cost of processing and analyzing large volumes of data in a medical environment is high most especially in terms of time consumption. So, this thesis proposed a patient-oriented design for integration of large volumes of data in order to improve database validity compared to procedure-oriented design that multiplies the redundancy of data. The research addressed the problems, by having a hybrid of ontologies and virtual data integration in order to enhance medical intelligence process. A hybrid model for enhance medical intelligence process using ontology based and virtual data integration technique was developed. The design provided for a database system for storing medical records, software for enhanced Medical Intelligence Process that would be more user-friendly, flexible, adaptive, intelligent, agile and automatic in integrating and analyzing medical data thereby helping medical practitioners at various levels to make realistic intelligent and real-time decision on critical health issues. Object Oriented Analysis and Design Methodology (OOADM) were adopted in the design of the system