Interpretation of Clinical Data Using the Eagol Model

This project entails development and evaluation of a computer-based decision support tool, MEDEAGOLhas been designed to provide guidance to attending physicians in the monitoring and management of pacare environment. The MEDEAGOL system is expected to address an important "illness" that contributesthe mortality and morbidity observed in critical care medicine. The "illness" is that of cognitive eimproved decision support for the clinician. Initially, data for the project will come from a seriesthe files of physician-specialists in critical care medicine. The studies should provide a sufficienand enable preliminary verification and validation of the model. An evaluation will be conducted toimpact of MEDEAGOL on patient outcome. Commercialization of the enhanced MEDEAGOL system will targetof sophisticated monitoring equipment who have come to recognized the need for such decision support