CloseLoop and Olive Partner to Enhance Care and Decrease Financial...
healthcaretechoutlook

CloseLoop and Olive Partner to Enhance Care and Decrease Financial Risk for Patients

Healthcare Tech Outlook | Monday, December 06, 2021

ClosedLoop has also joined The Library, a one of its kind global marketplace for healthcare products, to offer AI-enabled predictive analytics to improve patient outcomes like reducing unplanned hospitalizations, readmission rates, and hospital-acquired infections.

FREMONT, CA: Predictive analytics, which is typically related to quality metrics and financial incentives, are being explored by hospitals and health systems to identify patients at risk for negative outcomes such as sepsis, 30-day readmissions, and avoidable emergency department visits. Previous analytics solutions lacked the precision needed to quickly identify patients for focused interventions, the transparency needed to develop clinician trust and promote adoption, and the capacity to tailor algorithms to each organization’s unique population mix and data sources.

ClosedLoop, a healthcare data science platform that makes it easier for healthcare companies to employ AI to improve outcomes and cut costs, has partnered with Olive, the automation business that is establishing the Internet of Healthcare. ClosedLoop has also joined The Library, a one of its kind global marketplace for healthcare products, to offer AI-enabled predictive analytics to improve patient outcomes like reducing unplanned hospitalizations, readmission rates, and hospital-acquired infections.

“ClosedLoop and Olive are both striving to radically improve healthcare through the use of artificial intelligence,” said Andrew Eye, CEO, ClosedLoop. “Together, ClosedLoop and Olive will propel AI-powered patient health forecasts to clinicians and providers, helping them unlock valuable insights to provide life-saving care for patients.”

The ClosedLoop platform allows healthcare organizations to quickly train and deploy customized predictive machine learning models that accurately predict risk for a wide range of selected outcomes at the individual patient level, transparently explain which factors contribute to an individual patient’s predicted risk and allow for continuous learning by monitoring performance over time. Clinicians will have powerful, tailored insights given within clinical workflows by integrating ClosedLoop’s patient health predictions as a Loop via Olive Helps, ensuring that essential information is available when and when they need it.

“Olive and ClosedLoop both aim to help healthcare organizations improve patient outcomes and reduce costs through innovative technology,” said Patrick Jones, executive vice president, partnerships, Olive. “As Olive continues creating the Internet of Healthcare, our partnership with ClosedLoop will help clinicians harness the power of AI and automation to make better decisions, while identifying, intervening and better caring for the most-at-risk patients.”

Weekly Brief