ED boarding, transfer friction, delayed discharges, and lost capacity are not isolated problems—they are daily signs of fragmented operations and misaligned decision-making. In this session, Greg Brown, Associate System VP of the Patient Command Center/Healthline, will share how Baptist Health Arkansas addressed these pressures by combining AI-enabled predictive insights with standardized workflows and system-wide alignment.
Designed for healthcare executives and operational leaders, this session will spotlight the leadership decisions and frontline changes that helped Baptist Health Arkansas improve throughput and access, resulting in a 6% increase in admissions, a 34% reduction in GMLOS variance, and a 25% reduction in opportunity days.
Attendees will also hear how the organization achieved a 40% reduction in discharge processing time, a 35% reduction in ED boarding, and a 74% reduction in diversion. Participants will leave with practical strategies to align teams, reduce operational friction, and build a more efficient, predictable, and reliable approach to capacity management.
What attendees will learn
- How Baptist Health Arkansas used AI-driven insights to identify capacity barriers earlier and support faster, better operational decisions
- The leadership and workflow strategies that aligned executives, operators, and frontline teams around a shared patient flow model
- Real-world tactics for improving discharge speed, ED throughput, transfer performance, and inpatient capacity
- What it takes to turn technology, data, and visibility into measurable gains in access, efficiency, and system performance