A Distributed Medical Monitoring System for Real-Time Patient Diagnosis
Center of Integration of Medicine and Innovative Technology Computer Science/Engineering, 2001-02
Liaison(s): Bill Wiesmann, Alex Pranger ’92/93, Nathaniel Sims
Advisor(s): Ruye Wang
Students(s): Grant Baxter (TL), Adam Fischer, Daniel Lee, Steven Yan
Current patient monitoring procedures in hospital intensive care units generate large volumes of raw patient data. Doctors lack resources to properly process this data and a significant portion goes unused. Tools capable of detecting long-term trends and correlations within this data will allow doctors to more accurately diagnose patients. The Clinic team has designed and implemented a distributed hardware/software architecture for developing condition-specific software models which provide high-level analysis of raw patient data.