Electronic Medical Records
Wednesday, April 19, 2006, 10:30am
325b
We have developed a smart context-aware system to build an EHR to record the medically significant events of a surgery, by analyzing the data streams obtained from various sensors deployed in an Operating Room (OR). This record then becomes a part of the patient’s medical history. This record will provide the next physician an accurate account of the medical treatment given to the patient. Sensors in the OR include the blood oxygen monitor, the heart rate monitor etc.
Data from these sensor streams is analyzed using a stream processing engine to extract the low level events, such as high blood pressure etc, occurring during the surgery. These events are correlated using techniques such as multi-variable analysis, trend based analysis etc to identify events that become a part of the electronic medical record. Radio Frequency Identification (RFID) is used to acquire contextual information such as presence of medical staff in the operating room and identification of medicines used during the surgery.