The Connected Enterprise: Transforming Access, Flow, and Surgical Performance

Speakers

A middle-aged man with light hair, beard, and glasses, wearing a dark suit jacket and white shirt, smiles in front of a dark blue background—an advocate for healthcare workforce optimization technology.
Chad Mathis, MD, MBA
Chief Medical Officer, UofL Health-Louisville
A woman in a white lab coat stands in a modern hallway with glass walls and seating. The text "Spring 2025" and "Redefining Patient Logistics with Healthcare Workforce Optimization Technology" appears on the image.
Susan Grimwood, DNP, APRN-C
Executive Director, Logistics, Capacity and Patient Throughput, Sarasota Memorial Health Care System

Summary

As health systems face growing demand, staffing constraints, and financial pressure, many organizations are discovering that fragmented operations and decentralized decision-making limit their ability to scale efficiently. In this session, Sarasota Memorial and UofL Health share how they built more connected operating models by standardizing workflows, centralizing operational coordination, and leveraging real-time and predictive intelligence to improve inpatient flow and surgical performance.

Sarasota Memorial shares how establishing a centralized logistics and throughput model transformed patient flow across the organization — driving a 30% reduction in ED-to-bed time, a 13-hour decrease in length of stay, a 50% increase in discharges by 1 p.m., and avoiding approximately $120M in capital spend by unlocking more than 80 beds of daily capacity. UofL Health reveals how it standardized OR governance, centralized scheduling, and improved visibility across surgical operations to achieve measurable gains, including a 4% increase in case volume, improved OR utilization, restored operating room capacity, and approximately $1.5M in monthly anesthesia savings. Together, these organizations demonstrate how aligning access, flow, and the OR can create a more efficient, coordinated, and financially sustainable enterprise operating model.

Learning Objectives

  • Explore strategies for unlocking hidden capacity without relying on costly facility expansion or new construction
  • Learn how predictive and real-time intelligence support proactive decision-making for staffing, throughput, and surgical access
  • Identify the role of governance, standardization, and centralized scheduling in improving OR utilization and operational consistency
  • Examine approaches to reducing delays across the care continuum, from ED boarding and discharge progression to surgical scheduling and staffing

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