Software To Detect Malfunctions in Anesthesia Equipment

To reduce response times and save lives in operating rooms, community trauma centers, and remote combat care facilities, a team of scientists working on behalf of Lyndon B. Johnson Space Center (JSC) has developed an artificial-intelligence alarm-management software system that detects malfunctions in esophageal intubation and anesthesia machines. This system uses CLIPS [the C-Language Integrated Production System] knowledge-based rules derived from real-time data supplied by a sheep model. Although this system is one of several current alarm-management software systems, it is vastly superior to the commercial software systems designed to perform the same or similar functions.