3 lessons NewYork-Presbyterian learned from using AI to reduce length of stay: Reductions in patient length of stay have been shown to reduce costs and improve outcomes. There are a number of ways for hospitals and health systems to reduce length of stay, the majority of which are time-intensive and center on restructuring existing operations.

Reductions in patient length of stay have been shown to reduce costs and improve outcomes. There are a number of ways for hospitals and health systems to reduce length of stay, the majority of which are time-intensive and center on restructuring existing operations. To help bolster and streamline efforts to reduce length of stay, systems such as New York City-based NewYork-Presbyterian have turned to artificial intelligence technology from Qventus to automate care coordination, which not only improves efficiency but also eases the administrative burden on hospital staff. During an Aug. 6 webinar hosted by Becker's Hospital Review and sponsored by Qventus, Courtney Vose, DNP, MBA, RN, APRN, NEA-BC, vice president and chief nursing officer of NewYork-Presbyterian, and Ryan Starks, MBA, senior product marketing manager at Qventus, discussed how NewYork-Presbyterian deployed the Qventus platform and the three most important lessons the health system learned in the process. Systems like Qventus' may be high-tech, but traditional leadership roles are still necessary in order to glean the most benefit from these platforms and drive actual change, according to Mr. Starks.