Texas mobile analytics developer AirStrip and tech giant IBM said they will co-develop a monitoring system that attempts to predict declining health among acute and critically ill patients in real time.
The University of Michigan Center for Integrative Research in Critical Care will also help with the development, which will combine data from EHRs, body senors and other sources to create the AirStrip mobile acute care early warnings system. IBM will provide the streaming analytics that will permit AirStrip’s mobile platform to access the data immediately.
With the early warning system in place, the hope is that real-time patient data can be accessed on a physician’s mobile device while providing a better management tool for hospitals.
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Specifically, the university will test AirStrip’s application and the effectiveness of the analytics on its ability to spot the “serious and unexpected” complication “hemodynamic decompensation“, one of the most common causes of death for critically ill or injured patients.
Researchers hope that if the predictive analytics are successful in allowing for early detection, the tool can be applied beyond critical care and toward stemming hospital readmission rates.
“By mining multiple data streams, looking at real-time analytics and applying our adaptive learning algorithms, we believe we can come up with new computed vital signs that are even more valuable than the signals we’re monitoring today,” said Dr. Kevin Ward, executive director and professor of emergency medicine at Michigan. “Ultimately, we believe that clinical decision support solutions coupled with our analytic methodologies could help us improve patient outcomes while reducing overall costs in the healthcare system.”
The AirStrip early detection system will collect and translate structured and unstructured data via the AirStrip ONE platform, and deliver real-time analytics on that data using IBM’s InfoSphere Streams, which hcan be used across multiple industries with multiple types of data.
At that point, AirStrip’s new system could be used by clinicians with AirStrip apps on Apple, Android and Window devices.
The tool being developed, officials said, could likely be used for a number of conditions inside and outside of the hospital, including COPD, diabetes, congestive heart failure and other chronic diseases.
