🧠 Early Detection of Sepsis Using AI at a Texas Hospital: A Clinical and Economic Breakthrough Sepsis, a life-threatening condition caused by the body’s extreme response to infection, affects 1.7 million adults annually in the U.S., leading to approximately 350,000 deaths. Rapid diagnosis and treatment are essential, as mortality increases by 7.6% for every hour of delay in administering antibiotics. In this context, the application of Artificial Intelligence (AI) in healthcare settings has shown transformational potential. A leading Texas-based hospital system implemented a machine learning–driven early warning system for sepsis detection. The results: a 22% reduction in sepsis-related mortality, 2.5…
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Redefining ROI in Healthcare AI: How to Measure True Value “Thinking about AI as infrastructure is the right play for health systems to determine ROI… Ultimately, that is what is going to deliver ROI over time.” – William Sheahan, Senior Vice President and Chief Innovation Officer at MedStar Health Artificial Intelligence (AI) is no longer science fiction in healthcare — it’s a powerful driver fueling better decisions, faster diagnostics, and increasingly targeted treatments. But as it takes hold, healthcare leaders are faced with a critical question: how to measure the return on investment (ROI) of these technologies beyond superficial profit…