AirStrip, IBM and University of Michigan (U-M) Center for Integrative Research in Critical Care are working together to develop a mobile monitoring solution to help clinicians predict declining health in acute and critically ill patients.
AirStrip’s solution will rely on IBM’s streaming analytics technology to take advantage of multiple data sources in real-time.
The software will bring together data from electronic medical records, body sensors and other sources with predictive analytics to create an AirStrip mobile Acute Care Early Warning System (mACEWS), that could be used to provide critical health insights to doctors’ mobile devices. The system will be designed by AirStrip and the U-M Center for Integrative Research in Critical Care (MCIRCC) to help hospitals better manage acutely ill patients.
This technology can bring patient monitoring to a whole new level.Structured and unstructured data will be collected and translated via the AirStrip ONE platform, while IBM’s InfoSphere Streams will be used to deliver real-time analytics on AirStrip’s mobile app running on iOS, Android or Windows devices.
According to IBM, this technology can bring patient monitoring to a whole new level, allowing medical staff to keep track of their patients both inside and outside the hospital to detect clinical deterioration from chronic obstructive pulmonary disease (COPD), diabetes, congestive heart failure, and other chronic diseases.