in ,

AI Tool Cuts Sepsis Deaths by 20% at Louisiana Hospital #HealthTech

AI-Driven Diagnostic Tool Reduces Sepsis Deaths by 20% at Louisiana Hospital

A new diagnostic test has been developed to determine the level of activation of a patient’s immune system, which can indicate whether the patient has sepsis. Our Lady of the Lake Regional Medical Center in Baton Rouge, Louisiana has implemented IntelliSep, an AI-driven sepsis diagnostic testing system, which has resulted in reduced costs and improved efficiency in the emergency department. The test measures the activation of the immune system to identify patients at risk of septic shock. Other AI-driven sepsis diagnostic tools include Steripath, Sepsis Immunoscore, and Targeted Real-Time Early Warning System.

IntelliSep has decreased the number of blood cultures taken at the hospital, saving time and resources. It has also reduced the cost of care for patients by avoiding unnecessary antibiotics and hospital stays. A study published in Academic Emergency Medicine found that IntelliSep correctly identified patients without sepsis 98% of the time, making it a valuable tool for ruling out sepsis and exploring alternative diagnoses. The accuracy of the test has been compared to an electrocardiogram in terms of its impact on patient care.

Data from Our Lady of the Lake Regional Medical Center shows that IntelliSep has had a positive impact on patient outcomes and hospital operations. The hospital conducted fewer blood cultures, saved nurse staffing time, reduced ICU stays for sepsis patients, and decreased sepsis mortality by 20%. Overall, the implementation of IntelliSep has significantly improved patient care and outcomes at the hospital.

Source link

Source link: https://www.healthleadersmedia.com/cmo/ai-driven-diagnostic-tool-reduces-sepsis-deaths-20-louisiana-hospital

What do you think?

Leave a Reply

GIPHY App Key not set. Please check settings

ChatGPT-Maker OpenAI And Microsoft Sued By US Newspapers, Here Is Why - Times Now

Develop software as a service using Python programming language. #SaaS

Taka Mizutori

Part 2 of LangChain review in LLM Study Diary #languages