ARA Patents AI Model to Predict Circulatory Shock
The predictive tool aims to reduce mortality rates for patients in intensive care units across the United States.
Updated on Oct. 16, 2026 in Heart Disease
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Applied Research Associates has secured a patent for an artificial intelligence model designed to identify circulatory shock before its onset. The technology, which is currently in use across government and civilian intensive care units, was developed to address limitations in traditional diagnostic scoring tools.
Why it matters
Traditional rule-based scoring tools often lack the precision required to detect circulatory shock early, a condition with mortality rates ranging from 50 to 60 percent. Improving detection timelines could mitigate the $23 billion annual cost associated with septic shock in the U.S. health care system.
Circulatory shock presents a mortality rate between 50 and 60 percent, while septic shock imposes a $23 billion annual financial burden on the U.S. health care system. The model was evaluated at the Mayo Clinic's ICU to assess clinical impact and alarm fatigue.
The players
Applied Research Associates
An international research and engineering firm headquartered in Albuquerque, New Mexico, with a workforce of 2,000 employee-owners.
Mayo Clinic
A nonprofit American academic medical center focused on integrated health care, education, and research.
Defense Health Agency
A combat support agency within the U.S. Department of Defense that provides medical services to members of the armed forces.
Ambient Clinical Analytics
A healthcare technology company that collaborates on the integration of predictive diagnostic tools in clinical settings.
The details
The project, titled Trauma Triage and Treatment and Training Decision Support, uses historical ICU patient data to forecast shock before clinical symptoms emerge. The Defense Health Agency funded the development through the Medical Technology Enterprise Consortium, facilitating the model's deployment alongside partner Ambient Clinical Analytics.
Timeline
October 16, 2026: Applied Research Associates announced the acquisition of the patent.
1979: Applied Research Associates was founded.
The Big Picture
This development follows the pattern set by the Medical Technology Enterprise Consortium's trauma and triage initiatives by transitioning defense-funded research into clinical civilian practice. It marks a departure from traditional rule-based diagnostics toward more precise, data-driven predictive modeling in critical care.
Patients admitted to intensive care units may experience improved outcomes through earlier medical intervention facilitated by this predictive modeling. The technology aims to streamline clinical alerts, potentially reducing alarm fatigue for medical staff.
The takeaway
Predictive AI models are increasingly being used to identify life-threatening complications before they become symptomatic. Healthcare providers and hospital systems are progressively adopting these integrated tools to improve survival rates in high-acuity environments.
Further reading
Learn more about the latest diagnostic technologies by visiting our Heart Disease section.
More information
View full details regarding the technology on the ARA health solutions information page.
Source note: This article includes information reported by The Manila times.
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Do you trust artificial intelligence to accurately diagnose life-threatening conditions in local hospital intensive care units?
