Adding Capacity Without Construction: A Collaboration of Analytics and Frontline Operations (HAS18)


Yohan Vetteth, MBA Chief Analytics Officer, Stanford HealthCare Rudy Arthofer, RN, BSN, MHA Administrative Director of the Hospital Operations Center, Stanford HealthCare Stanford HealthCare, like many high-volume healthcare organizations, had a perennial need to find cost-effective solutions to manage its need for increased capacity. At one point, Stanford had to utilize a mobile surge unit (MSU) to support its emergency department (ED) in the winter months. Discover how Stanford used data and predictive analytics to improve its capacity and provide increased patient access, without the costly and time-consuming process of adding bricks and mortar. Using analytics insights, Stanford improved the efficiency and capacity of its ED and inpatient beds, reduced the number of cancelled cases, decreased ED boarding hours, and avoided use of the MSU. Learn three, key interventions Stanford used to develop its operational countermeasures to improve capacity: a daily dashboard, a 24/48-hour discharge prediction, and an annual capacity assessment.

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