You don’t typically think of doctors as consulting with big data resources to improve the delivery of patient care in a hospital ICU. But that’s exactly what the Etiometry Platform enables. We recently announced that Etiometry has surpassed the collection of 10 million hours of patient monitoring information using our T3 Visualization & Data Aggregation software, and we use this massive volume of data to continuously advance the Etiometry Platform.
T3 originally started collecting patient monitoring data at Boston Children’s Hospital in 2011, and it is now being used by our customers throughout North America and Europe to provide ICUs with actionable information through data consolidation, enhanced visualization and predictive analytics.
Volumes of data from each ICU patient are captured, anonymized, and archived as big data resources that help us continuously improve our products and deliver intelligent algorithms that help clinical staff improve patient care. Our Risk Analytics Algorithms are proprietary software that correlates patient data to provide caregivers with rapid access to the information they need to improve ICU care.
We develop our Risk Analytics Algorithms based on one of the primary assets of our company: the real-world data we anonymize and collect from customer deployments. This allows Etiometry to rapidly evolve our software to provide caregivers with data aggregation technologies developed by Etiometry to enable the collection, segmentation, and near real-time patient binding of data to support patient care.
The first in our family of Risk Analytics Algorithms to already receive FDA clearance is the IDO2 Index Powered by Risk Analytics for Neonates. It continuously assesses patient-specific risk of inadequate delivery of oxygen (IDO2) by computing an IDO2 Index that reflects the likelihood that a patient is experiencing inadequate oxygen delivery at any given time.
Big data analytics in the ICU is allowing hospitals to efficiently leverage real-world patient information to improve care, and additional Algorithms Powered by Risk Analytics are currently in development. For more information, read our recent press release. You can also read this blog to find out more about how you can deploy T3 Visualization & Data Aggregation as a virtual device so you can continuously improve patient care without having to wait for new monitoring platforms to evolve after years of development.