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Revolutionizing Wound Care at Mount Sinai: The Role of an AI Tool in Preventing Hospital Acquired Pressure Injuries

Hospital acquired pressure injuries are a global challenge, placing a significant burden on health care systems despite being preventable. Prevention can be simple, but treatment is complex and resource intensive.

Each year, preventable pressure injuries cost hospitals millions. At Mount Sinai Health System, an AI-driven solution is transforming care by accurately identifying patients at risk and preventing pressure injuries before they start.

Follow along as wound care nurses refine workflows, leverage artificial intelligence, and enhance patient outcomes. This innovative approach is making Mount Sinai more efficient—reducing costs and saving lives. The future of wound care is here.

Clinical Lead:

Arash Kia, MD

Assistant Professor and Project Supervisor
Department of Anesthesiology, Perioperative and Pain Medicine
Icahn School of Medicine at Mount Sinai
Director of Data Science, Clinical Data Science Team
Mount Sinai Health System

 

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Featured:

Maria Victoria Sevillano, BSN, RN, CWCN, COCN

Wound Care Service
Mount Sinai Health System

Kim-Anh-Nhi Nguyen, M.Sc.

Senior Data Scientist, Clinical Data Science Team
Mount Sinai Health System

Isabella Parker, BSN, RN.

Assistant Nurse Manager, Medical Intensive Care Unit
Mount Sinai Health System