16 – Detecting, Monitoring, and Preventing Patient Safety Events (clinical, pop health)
More than 21 percent of people in the US report experiencing a medical error in their own care, and 33 percent report an error in the medical care of a relative or friend. Current manual regulatory reporting approaches find less than 5 percent of all-cause harm using data at least 30-days old and require extensive time and resources. Allina Health, an integrated healthcare delivery system, was looking to improve the safety of the patients cared for at its facilities. Allina is now on the path to automate patient safety surveillance through the use of triggers and to develop embedded clinical workflow algorithms, enabling interventions before harm occurs. In this session, Allina will share its patient safety journey learnings, including developing a culture of safety, improving processes and communications, and gaining analytics insights. Learn how they have effectively used their learnings with three different patient safety challenges.