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.