By AIM · AIM Media House
Mount Sinai Health System is deploying Clarium's computer vision-enabled supply management platform across eight hospitals and ambulatory surgery centers, expanding its use of artificial intelligence in operational workflows inside operating rooms.
The deployment will introduce Clarium Vision, a system that combines in-room cameras with AI models to automatically capture surgical supply usage during procedures.
The platform is designed to improve documentation accuracy, reduce manual work for nursing staff, and provide more detailed supply utilization data for purchasing and inventory decisions.
The New York-based health system performs about 100,000 surgical procedures annually in its main operating rooms, according to the announcement.
Clarium said the deployment supports Mount Sinai's efforts to reduce unwarranted clinical variation, improve operational performance, and modernize perioperative operations through workflow automation and better data collection.
Focus on Surgical Supply Data Operating rooms are among the most resource-intensive areas of a hospital, requiring large volumes of supplies, implants, instruments, and disposable products. Manual documentation of those items remains common across many health systems. According to Clarium, U.S.
hospitals waste an estimated $25.7 billion annually on unnecessary supply chain spending driven by fragmented data, manual processes, and outdated governance practices. Supply chain spending is typically one of the largest expense categories for hospitals after labor.
Mount Sinai said the system will automatically record supply usage at the point of care and validate products against centralized supply databases.
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