BIG DATA & HEALTHCARE ANALYTICS: A HIMSS EVENT
SAN FRANCISCO, CA - MAY 15-16, 2017
According to the Agency for Healthcare Research and Quality, nearly 1,000,000 patients in the U.S. fall in the hospital each year. The Joint Commission Center for Transforming Healthcare also indicates that patients who sustain an injury from a fall add 6.3 days to the hospital stay and cost around $14,000.
Fall prevention methodology is reactive in nature – most fall assessments lack patient context in real time. However, prescriptive analytics represents a true solution by enabling proactive care management based on key patient-centered factors– including historical falls data, fall risk assessment, and bed exit alarms.
Cheryl Reinking, CNO, will detail how El Camino Hospital, a 420-bed California hospital, transformed its fall prevention program and used prescriptive analytics to ensure patients were being proactively and optimally managed. Reinking will also explore the need to go beyond traditional “predictive analytics” into action-focused insights that allow providers to immediately respond and impact patient safety.
Through analytics, the care team was able to predict exactly which patients were at risk for an imminent fall, and alerted case managers of at-risk patients in real-time, which resulted in a 39% reduction in falls within 6 months.