E-Triage will risk stratify patients, identifying those individuals that are at high risk for hospitalization. For lower risk patients, health care workers will be sent to the patient’s home for further assessment, follow up, and testing.
PEORIA, Ill. and BALTIMORE (PRWEB) March 26, 2020
In response to the Coronavirus (COVID-19) outbreak and the need to keep patients from flooding hospital emergency rooms, OSF HealthCare – an integrated health system based in Peoria, Illinois and consisting of 14 health care facilities throughout the state – will use a new artificial intelligence based tool designed to shift triage out of the hospital emergency room and into the community to get care to people in their homes.
Developed by Baltimore-based StoCastic to identify patients that are at high risk for hospitalization due to the Coronavirus, E-Triage enables nurses to triage patients over the phone rather than in hospitals, then gather information and mobilize pandemic health care workers to test patients in their homes and send samples to labs.
“Using machine learning technology, E-Triage will risk stratify patients, identifying those individuals that are at high risk for hospitalization,” explains John Vozenilek, vice president and chief medical officer innovation and digital health for OSF HealthCare. “For lower risk patients, health care workers will be sent to the patient’s home for further assessment, follow up, and testing.”
By triaging patients over the phone rather than in hospitals, E-Triage is expected to eliminate the potential for long lines and over-crowding at area hospitals due to the Coronavirus.
Through tools such as E-Triage and E-CaseLink – a predictive modeling tool which aims at mobilizing health workers quickly and efficiently – StoCastic harnesses large-scale EHR data to support real-time decision-making that confronts pain points in patient progression in the emergency department (ED), hospital, outpatient, and community settings.
“Our EHR- integrated support tools deploy artificial intelligence methods that enable smoother, more affordable health care,” explains Scott Levin, PhD Chief Technology Officer for StoCastic.
Begun at The Johns Hopkins School of Medicine and supported by the National Science Foundation's Small Business Innovation Research program, StoCastic is transforming the delivery of health care through ground-breaking solutions that harness large-scale electronic health record data and provide care teams with real-time, predictive insight.
StoCastic’s solutions are customized to each hospital’s unique population, care system, and organizational objectives, and are grounded in scientific evidence, relying on feedback and engagement from frontline providers.
For more information about StoCastic, visit https://www.stocastic.com/digital-decision-support-solutions.