IBM will provide streaming analytics technology to AirStrip’s mobile monitoring solution to use data from data sources in real time to help clinicians predict declining health in patients.
The new solution will be co-developed by AirStrip with the University of Michigan (U-M) Center for Integrative Research in Critical Care.
AirStrip mobile Acute Care Early Warning System (mACEWS) could be use 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.
MCIRCC anticipates that the resulting solution may provide the clinical decision support tool that enables clinicians to identify patient risk factors for early intervention. This clinical decision support tool could transition beyond critical care into comprehensive hospital-to-home care models.
This tool could be applied to patients being monitored both inside and outside the hospital to detect clinical deterioration from chronic obstructive pulmonary disease (COPD), diabetes, congestive heart failure, or other chronic diseases.
